Overview

Brought to you by YData

Dataset statistics

Number of variables107
Number of observations110046
Missing cells7467
Missing cells (%)0.1%
Total size in memory108.1 MiB
Average record size in memory1.0 KiB

Variable types

Numeric104
Text3

Alerts

Longitud has 2489 (2.3%) missing values Missing
Latitud has 2489 (2.3%) missing values Missing
Altitud has 2489 (2.3%) missing values Missing
Población total is highly skewed (γ1 = 305.3124165) Skewed
Población masculina is highly skewed (γ1 = 305.4631974) Skewed
Población femenina is highly skewed (γ1 = 305.1604181) Skewed
Población de 0 a 2 años is highly skewed (γ1 = 306.4349694) Skewed
Población masculina de 0 a 2 años is highly skewed (γ1 = 306.4448211) Skewed
Población femenina de 0 a 2 años is highly skewed (γ1 = 306.4243225) Skewed
Población de 3 años y más is highly skewed (γ1 = 305.2872485) Skewed
Población masculina de 3 años y más is highly skewed (γ1 = 305.4473616) Skewed
Población femenina de 3 años y más is highly skewed (γ1 = 305.1261786) Skewed
Población de 5 años y más is highly skewed (γ1 = 305.2402023) Skewed
Población masculina de 5 años y más is highly skewed (γ1 = 305.4054856) Skewed
Población femenina de 5 años y más is highly skewed (γ1 = 305.07411) Skewed
Población de 12 años y más is highly skewed (γ1 = 305.0109696) Skewed
Población masculina de 12 años y más is highly skewed (γ1 = 305.2000066) Skewed
Población femenina de 12 años y más is highly skewed (γ1 = 304.8221229) Skewed
Población de 15 años y más is highly skewed (γ1 = 304.8532106) Skewed
Población masculina de 15 años y más is highly skewed (γ1 = 305.0493938) Skewed
Población femenina de 15 años y más is highly skewed (γ1 = 304.6574458) Skewed
Población de 18 años y más is highly skewed (γ1 = 304.6825217) Skewed
Población masculina de 18 años y más is highly skewed (γ1 = 304.8881284) Skewed
Población femenina de 18 años y más is highly skewed (γ1 = 304.4775209) Skewed
Población de 3 a 5 años is highly skewed (γ1 = 306.0919988) Skewed
Población masculina de 3 a 5 años is highly skewed (γ1 = 306.1172034) Skewed
Población femenina de 3 a 5 años is highly skewed (γ1 = 306.0654131) Skewed
Población de 6 a 11 años is highly skewed (γ1 = 306.186526) Skewed
Población masculina de 6 a 11 años is highly skewed (γ1 = 306.1897666) Skewed
Población femenina de 6 a 11 años is highly skewed (γ1 = 306.1828586) Skewed
Población de 8 a 14 años is highly skewed (γ1 = 306.3595758) Skewed
Población masculina de 8 a 14 años is highly skewed (γ1 = 306.368724) Skewed
Población femenina de 8 a 14 años is highly skewed (γ1 = 306.3497935) Skewed
Población de 12 a 14 años is highly skewed (γ1 = 306.4933874) Skewed
Población masculina de 12 a 14 años is highly skewed (γ1 = 306.5168643) Skewed
Población femenina de 12 a 14 años is highly skewed (γ1 = 306.4684478) Skewed
Población de 15 a 17 años is highly skewed (γ1 = 306.28631) Skewed
Población masculina de 15 a 17 años is highly skewed (γ1 = 306.313756) Skewed
Población femenina de 15 a 17 años is highly skewed (γ1 = 306.2567884) Skewed
Población de 18 a 24 años is highly skewed (γ1 = 305.2865206) Skewed
Población masculina de 18 a 24 años is highly skewed (γ1 = 305.194679) Skewed
Población femenina de 18 a 24 años is highly skewed (γ1 = 305.3587719) Skewed
Población femenina de 15 a 49 años  is highly skewed (γ1 = 304.7409864) Skewed
Población de 60 años y más is highly skewed (γ1 = 305.269799) Skewed
Población masculina de 60 años y más is highly skewed (γ1 = 306.1913718) Skewed
Población femenina de 60 años y más is highly skewed (γ1 = 304.3917582) Skewed
Relación hombres-mujeres is highly skewed (γ1 = 211.9209891) Skewed
Población de cero a 14 años is highly skewed (γ1 = 306.2846735) Skewed
Población de 15 a 64 años is highly skewed (γ1 = 304.6960667) Skewed
Población con limitación en la actividad is highly skewed (γ1 = 306.8024074) Skewed
Población con limitación para caminar o moverse, subir o bajar is highly skewed (γ1 = 307.1852533) Skewed
Población con limitación para ver, aún usando lentes is highly skewed (γ1 = 306.3249467) Skewed
Población con limitación para hablar, comunicarse o conversar is highly skewed (γ1 = 307.9066265) Skewed
Población con limitación para escuchar is highly skewed (γ1 = 306.4028056) Skewed
Población con limitación para vestirse, bañarse o comer is highly skewed (γ1 = 307.1395266) Skewed
Población con limitación para poner atención o aprender cosas sencillas is highly skewed (γ1 = 306.3244603) Skewed
Población con limitación mental is highly skewed (γ1 = 305.7871542) Skewed
Población sin limitación en la actividad is highly skewed (γ1 = 305.284377) Skewed
Población de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 305.0929848) Skewed
Población masculina de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 305.1595326) Skewed
Población femenina de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 305.0221159) Skewed
Población de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 304.6753688) Skewed
Población masculina de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 305.0083358) Skewed
Población femenina de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 304.2536469) Skewed
Población de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 306.1562712) Skewed
Población masculina de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 306.4318428) Skewed
Población femenina de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 305.6644235) Skewed
Población de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 305.5306239) Skewed
Población masculina de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 305.5891101) Skewed
Población femenina de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 305.4633795) Skewed
Población de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.1600869) Skewed
Población masculina de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.0024084) Skewed
Población femenina de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.2951518) Skewed
Población de 8 a 14 años que no saben leer y escribir is highly skewed (γ1 = 302.1540629) Skewed
Población masculina de 8 a 14 años que no saben leer y escribir is highly skewed (γ1 = 303.4535493) Skewed
Población femenina de 8 a 14 años que no saben leer y escribir is highly skewed (γ1 = 300.2004102) Skewed
Población de 15 años y más analfabeta is highly skewed (γ1 = 303.9161348) Skewed
Población masculina de 15 años y más analfabeta is highly skewed (γ1 = 305.4932761) Skewed
Población femenina de 15 años y más analfabeta is highly skewed (γ1 = 302.6459236) Skewed
Población de 15 años y más sin escolaridad is highly skewed (γ1 = 305.1340048) Skewed
Población masculina de 15 años y más sin escolaridad is highly skewed (γ1 = 306.5752132) Skewed
Población femenina de 15 años y más sin escolaridad is highly skewed (γ1 = 303.8159554) Skewed
Población de 15 años y más con primaria incompleta is highly skewed (γ1 = 307.8840519) Skewed
Población masculina de 15 años y más con primaria incompleta is highly skewed (γ1 = 308.5012052) Skewed
Población femenina de 15 años y más con primaria incompleta is highly skewed (γ1 = 307.2262956) Skewed
Población de 15 años y más con primaria completa is highly skewed (γ1 = 305.5315576) Skewed
Población masculina de 15 años y más con primaria completa is highly skewed (γ1 = 306.0442207) Skewed
Población femenina de 15 años y más con primaria completa is highly skewed (γ1 = 305.0466927) Skewed
Población de 15 años y más con secundaria incompleta is highly skewed (γ1 = 305.9153727) Skewed
Población masculina de 15 años y más con secundaria incompleta is highly skewed (γ1 = 305.6618595) Skewed
Población femenina de 15 años y más con secundaria incompleta is highly skewed (γ1 = 306.1902701) Skewed
Población de 15 años y más con secundaria completa is highly skewed (γ1 = 303.5233694) Skewed
Población masculina de 15 años y más con secundaria completa is highly skewed (γ1 = 303.0531652) Skewed
Población femenina de 15 años y más con secundaria completa is highly skewed (γ1 = 303.9477734) Skewed
Población de 18 años y más con educación pos-básica is highly skewed (γ1 = 299.7449598) Skewed
Población masculina de 18 años y más con educación pos-básica is highly skewed (γ1 = 299.8890585) Skewed
Población femenina de 18 años y más con educación pos-básica is highly skewed (γ1 = 299.5836107) Skewed
Unnamed: 0 has unique values Unique
Clave de localidad has 2489 (2.3%) zeros Zeros
Población de 0 a 2 años has 13211 (12.0%) zeros Zeros
Población masculina de 0 a 2 años has 23056 (21.0%) zeros Zeros
Población femenina de 0 a 2 años has 23831 (21.7%) zeros Zeros
Población de 3 a 5 años has 12673 (11.5%) zeros Zeros
Población masculina de 3 a 5 años has 22266 (20.2%) zeros Zeros
Población femenina de 3 a 5 años has 22813 (20.7%) zeros Zeros
Población de 6 a 11 años has 6911 (6.3%) zeros Zeros
Población masculina de 6 a 11 años has 12832 (11.7%) zeros Zeros
Población femenina de 6 a 11 años has 13564 (12.3%) zeros Zeros
Población de 8 a 14 años has 6015 (5.5%) zeros Zeros
Población masculina de 8 a 14 años has 11144 (10.1%) zeros Zeros
Población femenina de 8 a 14 años has 11978 (10.9%) zeros Zeros
Población de 12 a 14 años has 12916 (11.7%) zeros Zeros
Población masculina de 12 a 14 años has 21939 (19.9%) zeros Zeros
Población femenina de 12 a 14 años has 23007 (20.9%) zeros Zeros
Población de 15 a 17 años has 12669 (11.5%) zeros Zeros
Población masculina de 15 a 17 años has 21907 (19.9%) zeros Zeros
Población femenina de 15 a 17 años has 22818 (20.7%) zeros Zeros
Población de 18 a 24 años has 6831 (6.2%) zeros Zeros
Población masculina de 18 a 24 años has 13611 (12.4%) zeros Zeros
Población femenina de 18 a 24 años has 12690 (11.5%) zeros Zeros
Población de 60 años y más has 7231 (6.6%) zeros Zeros
Población masculina de 60 años y más has 11785 (10.7%) zeros Zeros
Población femenina de 60 años y más has 14518 (13.2%) zeros Zeros
Población de cero a 14 años has 2301 (2.1%) zeros Zeros
Población con limitación en la actividad has 23155 (21.0%) zeros Zeros
Población con limitación para caminar o moverse, subir o bajar has 35120 (31.9%) zeros Zeros
Población con limitación para ver, aún usando lentes has 50975 (46.3%) zeros Zeros
Población con limitación para hablar, comunicarse o conversar has 63789 (58.0%) zeros Zeros
Población con limitación para escuchar has 62679 (57.0%) zeros Zeros
Población con limitación para vestirse, bañarse o comer has 79806 (72.5%) zeros Zeros
Población con limitación para poner atención o aprender cosas sencillas has 81132 (73.7%) zeros Zeros
Población con limitación mental has 64233 (58.4%) zeros Zeros
Población de 3 a 5 años que no asiste a la escuela has 22965 (20.9%) zeros Zeros
Población masculina de 3 a 5 años que no asiste a la escuela has 35305 (32.1%) zeros Zeros
Población femenina de 3 a 5 años que no asiste a la escuela has 36366 (33.0%) zeros Zeros
Población de 6 a 11 años que no asiste a la escuela has 61995 (56.3%) zeros Zeros
Población masculina de 6 a 11 años que no asiste a la escuela has 73023 (66.4%) zeros Zeros
Población femenina de 6 a 11 años que no asiste a la escuela has 75365 (68.5%) zeros Zeros
Población de 12 a 14 años que no asiste a la escuela has 49525 (45.0%) zeros Zeros
Población masculina de 12 a 14 años que no asiste a la escuela has 63516 (57.7%) zeros Zeros
Población femenina de 12 a 14 años que no asiste a la escuela has 64078 (58.2%) zeros Zeros
Población de 15 a 17 años que asiste a la escuela has 27054 (24.6%) zeros Zeros
Población masculina de 15 a 17 años que asiste a la escuela has 38070 (34.6%) zeros Zeros
Población femenina de 15 a 17 años que asiste a la escuela has 38660 (35.1%) zeros Zeros
Población de 18 a 24 años que asiste a la escuela has 44632 (40.6%) zeros Zeros
Población masculina de 18 a 24 años que asiste a la escuela has 57536 (52.3%) zeros Zeros
Población femenina de 18 a 24 años que asiste a la escuela has 55812 (50.7%) zeros Zeros
Población de 8 a 14 años que no saben leer y escribir has 51205 (46.5%) zeros Zeros
Población masculina de 8 a 14 años que no saben leer y escribir has 60433 (54.9%) zeros Zeros
Población femenina de 8 a 14 años que no saben leer y escribir has 67123 (61.0%) zeros Zeros
Población de 15 años y más analfabeta has 9580 (8.7%) zeros Zeros
Población masculina de 15 años y más analfabeta has 17730 (16.1%) zeros Zeros
Población femenina de 15 años y más analfabeta has 15306 (13.9%) zeros Zeros
Población de 15 años y más sin escolaridad has 8848 (8.0%) zeros Zeros
Población masculina de 15 años y más sin escolaridad has 16202 (14.7%) zeros Zeros
Población femenina de 15 años y más sin escolaridad has 14776 (13.4%) zeros Zeros
Población de 15 años y más con primaria incompleta has 3949 (3.6%) zeros Zeros
Población masculina de 15 años y más con primaria incompleta has 8356 (7.6%) zeros Zeros
Población femenina de 15 años y más con primaria incompleta has 9303 (8.5%) zeros Zeros
Población de 15 años y más con primaria completa has 5361 (4.9%) zeros Zeros
Población masculina de 15 años y más con primaria completa has 11288 (10.3%) zeros Zeros
Población femenina de 15 años y más con primaria completa has 11568 (10.5%) zeros Zeros
Población de 15 años y más con secundaria incompleta has 24419 (22.2%) zeros Zeros
Población masculina de 15 años y más con secundaria incompleta has 34451 (31.3%) zeros Zeros
Población femenina de 15 años y más con secundaria incompleta has 37520 (34.1%) zeros Zeros
Población de 15 años y más con secundaria completa has 11194 (10.2%) zeros Zeros
Población masculina de 15 años y más con secundaria completa has 18989 (17.3%) zeros Zeros
Población femenina de 15 años y más con secundaria completa has 18980 (17.2%) zeros Zeros
Población de 18 años y más con educación pos-básica has 25576 (23.2%) zeros Zeros
Población masculina de 18 años y más con educación pos-básica has 35603 (32.4%) zeros Zeros
Población femenina de 18 años y más con educación pos-básica has 35178 (32.0%) zeros Zeros

Reproduction

Analysis started2024-10-22 05:49:46.655490
Analysis finished2024-10-22 05:49:53.820532
Duration7.17 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

Unique 

Distinct110046
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101684.0137
Minimum0
Maximum198484
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:54.020222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17623.25
Q160519.5
median100270
Q3143431.75
95-th percentile187877.75
Maximum198484
Range198484
Interquartile range (IQR)82912.25

Descriptive statistics

Standard deviation53339.01128
Coefficient of variation (CV)0.5245565094
Kurtosis-1.016218921
Mean101684.0137
Median Absolute Deviation (MAD)41197.5
Skewness0.01303771941
Sum1.118991897 × 1010
Variance2845050124
MonotonicityStrictly increasing
2024-10-21T22:49:54.262149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
128591 1
 
< 0.1%
128589 1
 
< 0.1%
128588 1
 
< 0.1%
128587 1
 
< 0.1%
128586 1
 
< 0.1%
128585 1
 
< 0.1%
128584 1
 
< 0.1%
128583 1
 
< 0.1%
128582 1
 
< 0.1%
Other values (110036) 110036
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
198484 1
< 0.1%
198482 1
< 0.1%
198480 1
< 0.1%
198479 1
< 0.1%
198476 1
< 0.1%
Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.37265325
Minimum0
Maximum32
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:54.433835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median16
Q324
95-th percentile30
Maximum32
Range32
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.294559485
Coefficient of variation (CV)0.477449205
Kurtosis-1.072367029
Mean17.37265325
Median Absolute Deviation (MAD)6
Skewness0.1460442411
Sum1911791
Variance68.79971705
MonotonicityIncreasing
2024-10-21T22:49:54.591837image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
30 12377
 
11.2%
7 10939
 
9.9%
20 8698
 
7.9%
14 6368
 
5.8%
16 6242
 
5.7%
11 6188
 
5.6%
12 5449
 
5.0%
21 5320
 
4.8%
8 5122
 
4.7%
15 4580
 
4.2%
Other values (23) 38763
35.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 915
0.8%
2 1651
1.5%
3 606
 
0.6%
4 735
0.7%
ValueCountFrequency (%)
32 2729
 
2.5%
31 941
 
0.9%
30 12377
11.2%
29 739
 
0.7%
28 2452
 
2.2%
Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.7 MiB
2024-10-21T22:49:54.816183image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length31
Median length19
Mean length11.48286171
Min length6

Characters and Unicode

Total characters1263643
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowTotal nacional
2nd rowAguascalientes
3rd rowAguascalientes
4th rowAguascalientes
5th rowAguascalientes
ValueCountFrequency (%)
de 32211
 
16.0%
veracruz 12377
 
6.1%
ignacio 12377
 
6.1%
la 12377
 
6.1%
llave 12377
 
6.1%
chiapas 10939
 
5.4%
oaxaca 8698
 
4.3%
jalisco 6368
 
3.2%
michoacán 6242
 
3.1%
ocampo 6242
 
3.1%
Other values (36) 81111
40.3%
2024-10-21T22:49:55.235970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 217535
17.2%
91273
 
7.2%
e 87502
 
6.9%
o 85668
 
6.8%
c 73974
 
5.9%
i 69473
 
5.5%
u 63816
 
5.1%
r 57767
 
4.6%
l 54125
 
4.3%
n 44798
 
3.5%
Other values (39) 417712
33.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1263643
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 217535
17.2%
91273
 
7.2%
e 87502
 
6.9%
o 85668
 
6.8%
c 73974
 
5.9%
i 69473
 
5.5%
u 63816
 
5.1%
r 57767
 
4.6%
l 54125
 
4.3%
n 44798
 
3.5%
Other values (39) 417712
33.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1263643
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 217535
17.2%
91273
 
7.2%
e 87502
 
6.9%
o 85668
 
6.8%
c 73974
 
5.9%
i 69473
 
5.5%
u 63816
 
5.1%
r 57767
 
4.6%
l 54125
 
4.3%
n 44798
 
3.5%
Other values (39) 417712
33.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1263643
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 217535
17.2%
91273
 
7.2%
e 87502
 
6.9%
o 85668
 
6.8%
c 73974
 
5.9%
i 69473
 
5.5%
u 63816
 
5.1%
r 57767
 
4.6%
l 54125
 
4.3%
n 44798
 
3.5%
Other values (39) 417712
33.1%
Distinct571
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.33310616
Minimum0
Maximum570
Zeros33
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:55.415599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median38
Q382
95-th percentile210
Maximum570
Range570
Interquartile range (IQR)67

Descriptive statistics

Standard deviation89.51119934
Coefficient of variation (CV)1.329378733
Kurtosis10.39942696
Mean67.33310616
Median Absolute Deviation (MAD)28
Skewness2.985707017
Sum7409739
Variance8012.254808
MonotonicityNot monotonic
2024-10-21T22:49:55.598287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2640
 
2.4%
1 2591
 
2.4%
2 2508
 
2.3%
17 2310
 
2.1%
9 2137
 
1.9%
8 2115
 
1.9%
4 2017
 
1.8%
14 1989
 
1.8%
7 1764
 
1.6%
6 1745
 
1.6%
Other values (561) 88230
80.2%
ValueCountFrequency (%)
0 33
 
< 0.1%
1 2591
2.4%
2 2508
2.3%
3 2640
2.4%
4 2017
1.8%
ValueCountFrequency (%)
570 33
< 0.1%
569 26
< 0.1%
568 6
 
< 0.1%
567 13
 
< 0.1%
566 16
< 0.1%
Distinct2349
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.9 MiB
2024-10-21T22:49:55.869392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length49
Median length36
Mean length12.0883267
Min length3

Characters and Unicode

Total characters1330272
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)< 0.1%

Sample

1st rowTotal nacional
2nd rowTotal de la entidad Aguascalientes
3rd rowAguascalientes
4th rowAguascalientes
5th rowAguascalientes
ValueCountFrequency (%)
de 15998
 
8.2%
san 9558
 
4.9%
la 3293
 
1.7%
del 2821
 
1.4%
santa 2169
 
1.1%
villa 1989
 
1.0%
el 1799
 
0.9%
maría 1704
 
0.9%
santiago 1659
 
0.9%
juan 1579
 
0.8%
Other values (2193) 152254
78.1%
2024-10-21T22:49:56.320942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 190495
14.3%
e 95893
 
7.2%
o 93196
 
7.0%
l 88962
 
6.7%
84777
 
6.4%
n 81348
 
6.1%
i 67648
 
5.1%
t 57519
 
4.3%
u 53661
 
4.0%
c 51184
 
3.8%
Other values (56) 465589
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1330272
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 190495
14.3%
e 95893
 
7.2%
o 93196
 
7.0%
l 88962
 
6.7%
84777
 
6.4%
n 81348
 
6.1%
i 67648
 
5.1%
t 57519
 
4.3%
u 53661
 
4.0%
c 51184
 
3.8%
Other values (56) 465589
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1330272
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 190495
14.3%
e 95893
 
7.2%
o 93196
 
7.0%
l 88962
 
6.7%
84777
 
6.4%
n 81348
 
6.1%
i 67648
 
5.1%
t 57519
 
4.3%
u 53661
 
4.0%
c 51184
 
3.8%
Other values (56) 465589
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1330272
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 190495
14.3%
e 95893
 
7.2%
o 93196
 
7.0%
l 88962
 
6.7%
84777
 
6.4%
n 81348
 
6.1%
i 67648
 
5.1%
t 57519
 
4.3%
u 53661
 
4.0%
c 51184
 
3.8%
Other values (56) 465589
35.0%

Clave de localidad
Real number (ℝ)

Zeros 

Distinct3205
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.7834269
Minimum0
Maximum7003
Zeros2489
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:56.513283image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q123
median76
Q3230
95-th percentile1023
Maximum7003
Range7003
Interquartile range (IQR)207

Descriptive statistics

Standard deviation464.4026233
Coefficient of variation (CV)1.961296993
Kurtosis27.46424377
Mean236.7834269
Median Absolute Deviation (MAD)65
Skewness4.518714
Sum26057069
Variance215669.7966
MonotonicityNot monotonic
2024-10-21T22:49:56.687042image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2489
 
2.3%
1 2454
 
2.2%
2 1501
 
1.4%
3 1412
 
1.3%
4 1370
 
1.2%
5 1305
 
1.2%
7 1217
 
1.1%
6 1197
 
1.1%
8 1157
 
1.1%
9 1118
 
1.0%
Other values (3195) 94826
86.2%
ValueCountFrequency (%)
0 2489
2.3%
1 2454
2.2%
2 1501
1.4%
3 1412
1.3%
4 1370
1.2%
ValueCountFrequency (%)
7003 1
< 0.1%
7001 1
< 0.1%
5072 1
< 0.1%
5058 1
< 0.1%
5044 1
< 0.1%
Distinct64164
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size7.2 MiB
2024-10-21T22:49:57.069144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length69
Median length58
Mean length15.43863475
Min length2

Characters and Unicode

Total characters1698960
Distinct characters90
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56097 ?
Unique (%)51.0%

Sample

1st rowTotal nacional
2nd rowTotal de la Entidad
3rd rowTotal del Municipio
4th rowAguascalientes
5th rowAgua Azul
ValueCountFrequency (%)
el 19656
 
7.0%
la 16121
 
5.8%
de 14422
 
5.1%
san 12281
 
4.4%
del 6277
 
2.2%
los 6087
 
2.2%
las 5122
 
1.8%
santa 3725
 
1.3%
colonia 2804
 
1.0%
total 2489
 
0.9%
Other values (27937) 191079
68.2%
2024-10-21T22:49:57.800444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 221061
 
13.0%
170017
 
10.0%
o 128641
 
7.6%
e 114249
 
6.7%
l 101194
 
6.0%
n 93006
 
5.5%
i 91219
 
5.4%
r 81767
 
4.8%
s 57965
 
3.4%
t 55701
 
3.3%
Other values (80) 584140
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1698960
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 221061
 
13.0%
170017
 
10.0%
o 128641
 
7.6%
e 114249
 
6.7%
l 101194
 
6.0%
n 93006
 
5.5%
i 91219
 
5.4%
r 81767
 
4.8%
s 57965
 
3.4%
t 55701
 
3.3%
Other values (80) 584140
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1698960
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 221061
 
13.0%
170017
 
10.0%
o 128641
 
7.6%
e 114249
 
6.7%
l 101194
 
6.0%
n 93006
 
5.5%
i 91219
 
5.4%
r 81767
 
4.8%
s 57965
 
3.4%
t 55701
 
3.3%
Other values (80) 584140
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1698960
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 221061
 
13.0%
170017
 
10.0%
o 128641
 
7.6%
e 114249
 
6.7%
l 101194
 
6.0%
n 93006
 
5.5%
i 91219
 
5.4%
r 81767
 
4.8%
s 57965
 
3.4%
t 55701
 
3.3%
Other values (80) 584140
34.4%

Longitud
Real number (ℝ)

Missing 

Distinct49823
Distinct (%)46.3%
Missing2489
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean995839.959
Minimum864354
Maximum1181804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:58.066676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum864354
5-th percentile921139.8
Q1965857
median992430
Q31021643
95-th percentile1081950
Maximum1181804
Range317450
Interquartile range (IQR)55786

Descriptive statistics

Standard deviation49864.18068
Coefficient of variation (CV)0.05007248427
Kurtosis0.8555958482
Mean995839.959
Median Absolute Deviation (MAD)27521
Skewness0.5356149162
Sum1.071095585 × 1011
Variance2486436514
MonotonicityNot monotonic
2024-10-21T22:49:58.347912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
921620 12
 
< 0.1%
985607 12
 
< 0.1%
922002 12
 
< 0.1%
1014447 11
 
< 0.1%
985553 11
 
< 0.1%
970548 11
 
< 0.1%
975729 11
 
< 0.1%
985255 11
 
< 0.1%
965722 10
 
< 0.1%
993602 10
 
< 0.1%
Other values (49813) 107446
97.6%
(Missing) 2489
 
2.3%
ValueCountFrequency (%)
864354 1
 
< 0.1%
864807 1
 
< 0.1%
864808 1
 
< 0.1%
864809 5
< 0.1%
864812 1
 
< 0.1%
ValueCountFrequency (%)
1181804 1
< 0.1%
1170707 1
< 0.1%
1170702 1
< 0.1%
1170618 1
< 0.1%
1170616 1
< 0.1%

Latitud
Real number (ℝ)

Missing 

Distinct40062
Distinct (%)37.2%
Missing2489
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean204662.9895
Minimum143208
Maximum324255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:58.607354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum143208
5-th percentile161607
Q1181147
median200050
Q3215749
95-th percentile273738.2
Maximum324255
Range181047
Interquartile range (IQR)34602

Descriptive statistics

Standard deviation35279.43495
Coefficient of variation (CV)0.1723781864
Kurtosis1.00966085
Mean204662.9895
Median Absolute Deviation (MAD)18734
Skewness1.080365154
Sum2.201293716 × 1010
Variance1244638530
MonotonicityNot monotonic
2024-10-21T22:49:58.815607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211050 15
 
< 0.1%
171803 14
 
< 0.1%
195817 14
 
< 0.1%
195035 14
 
< 0.1%
210811 14
 
< 0.1%
204344 14
 
< 0.1%
211124 14
 
< 0.1%
185726 13
 
< 0.1%
203215 13
 
< 0.1%
203121 13
 
< 0.1%
Other values (40052) 107419
97.6%
(Missing) 2489
 
2.3%
ValueCountFrequency (%)
143208 1
< 0.1%
143224 1
< 0.1%
143333 1
< 0.1%
143347 1
< 0.1%
143354 1
< 0.1%
ValueCountFrequency (%)
324255 1
< 0.1%
324245 1
< 0.1%
324216 1
< 0.1%
324210 1
< 0.1%
324154 1
< 0.1%

Altitud
Real number (ℝ)

Missing 

Distinct3101
Distinct (%)2.9%
Missing2489
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1162.52375
Minimum-1
Maximum3498
Zeros227
Zeros (%)0.2%
Negative2
Negative (%)< 0.1%
Memory size859.9 KiB
2024-10-21T22:49:59.024048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile10
Q1230
median1204
Q31930
95-th percentile2482
Maximum3498
Range3499
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation871.9677735
Coefficient of variation (CV)0.7500644812
Kurtosis-1.383637006
Mean1162.52375
Median Absolute Deviation (MAD)824
Skewness0.05663080111
Sum125037567
Variance760327.7981
MonotonicityNot monotonic
2024-10-21T22:49:59.302569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2367
 
2.2%
20 1673
 
1.5%
40 952
 
0.9%
30 790
 
0.7%
60 723
 
0.7%
1 554
 
0.5%
80 543
 
0.5%
8 498
 
0.5%
9 430
 
0.4%
100 416
 
0.4%
Other values (3091) 98611
89.6%
(Missing) 2489
 
2.3%
ValueCountFrequency (%)
-1 2
 
< 0.1%
0 227
0.2%
1 554
0.5%
2 269
0.2%
3 328
0.3%
ValueCountFrequency (%)
3498 1
< 0.1%
3447 1
< 0.1%
3415 1
< 0.1%
3397 1
< 0.1%
3372 1
< 0.1%

Población total
Real number (ℝ)

Skewed 

Distinct7163
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4079.077795
Minimum1
Maximum112336538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:49:59.586317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q128
median102
Q3355
95-th percentile2652.75
Maximum112336538
Range112336537
Interquartile range (IQR)327

Descriptive statistics

Standard deviation348624.8183
Coefficient of variation (CV)85.46657746
Kurtosis97998.31715
Mean4079.077795
Median Absolute Deviation (MAD)86
Skewness305.3124165
Sum448886195
Variance1.215392639 × 1011
MonotonicityNot monotonic
2024-10-21T22:49:59.802269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1645
 
1.5%
13 1615
 
1.5%
11 1556
 
1.4%
15 1548
 
1.4%
14 1545
 
1.4%
16 1474
 
1.3%
17 1461
 
1.3%
10 1442
 
1.3%
18 1351
 
1.2%
19 1283
 
1.2%
Other values (7153) 95126
86.4%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 79
 
0.1%
4 183
0.2%
5 296
0.3%
6 421
0.4%
ValueCountFrequency (%)
112336538 1
< 0.1%
15175862 1
< 0.1%
8851080 1
< 0.1%
7643194 1
< 0.1%
7350682 1
< 0.1%

Población masculina
Real number (ℝ)

Skewed 

Distinct5382
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1991.499291
Minimum0
Maximum54855231
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:00.134129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median51
Q3176
95-th percentile1303
Maximum54855231
Range54855231
Interquartile range (IQR)162

Descriptive statistics

Standard deviation170206.4766
Coefficient of variation (CV)85.46650123
Kurtosis98069.22049
Mean1991.499291
Median Absolute Deviation (MAD)43
Skewness305.4631974
Sum219156531
Variance2.897024468 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:00.368912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2984
 
2.7%
8 2968
 
2.7%
6 2962
 
2.7%
5 2649
 
2.4%
9 2644
 
2.4%
10 2456
 
2.2%
11 2285
 
2.1%
4 1963
 
1.8%
12 1962
 
1.8%
13 1713
 
1.6%
Other values (5372) 85460
77.7%
ValueCountFrequency (%)
0 9
 
< 0.1%
1 34
 
< 0.1%
2 261
 
0.2%
3 1126
1.0%
4 1963
1.8%
ValueCountFrequency (%)
54855231 1
< 0.1%
7396986 1
< 0.1%
4233783 1
< 0.1%
3695679 1
< 0.1%
3600641 1
< 0.1%

Población femenina
Real number (ℝ)

Skewed 

Distinct5459
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2087.578504
Minimum0
Maximum57481307
Zeros155
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:00.583581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median51
Q3179
95-th percentile1361
Maximum57481307
Range57481307
Interquartile range (IQR)165

Descriptive statistics

Standard deviation178420.0917
Coefficient of variation (CV)85.46748847
Kurtosis97926.90052
Mean2087.578504
Median Absolute Deviation (MAD)43
Skewness305.1604181
Sum229729664
Variance3.183372912 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:00.851412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2938
 
2.7%
7 2908
 
2.6%
8 2779
 
2.5%
5 2728
 
2.5%
9 2499
 
2.3%
10 2310
 
2.1%
4 2220
 
2.0%
11 2168
 
2.0%
12 1913
 
1.7%
13 1797
 
1.6%
Other values (5449) 85786
78.0%
ValueCountFrequency (%)
0 155
 
0.1%
1 329
 
0.3%
2 677
 
0.6%
3 1457
1.3%
4 2220
2.0%
ValueCountFrequency (%)
57481307 1
< 0.1%
7778876 1
< 0.1%
4617297 1
< 0.1%
3947515 1
< 0.1%
3750041 1
< 0.1%

Población de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct2278
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.6304818
Minimum0
Maximum6157867
Zeros13211
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:01.104358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q322
95-th percentile163
Maximum6157867
Range6157867
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19085.13475
Coefficient of variation (CV)85.34227799
Kurtosis98513.01283
Mean223.6304818
Median Absolute Deviation (MAD)5
Skewness306.4349694
Sum24609640
Variance364242368.2
MonotonicityNot monotonic
2024-10-21T22:50:01.387334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13211
 
12.0%
1 12613
 
11.5%
2 9805
 
8.9%
3 7080
 
6.4%
4 5333
 
4.8%
5 4313
 
3.9%
6 3672
 
3.3%
7 3205
 
2.9%
8 2797
 
2.5%
9 2507
 
2.3%
Other values (2268) 45510
41.4%
ValueCountFrequency (%)
0 13211
12.0%
1 12613
11.5%
2 9805
8.9%
3 7080
6.4%
4 5333
4.8%
ValueCountFrequency (%)
6157867 1
< 0.1%
826124 1
< 0.1%
406862 1
< 0.1%
388269 1
< 0.1%
357390 1
< 0.1%

Población masculina de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct1669
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.7655889
Minimum0
Maximum3132624
Zeros23056
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:01.636245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile83
Maximum3132624
Range3132624
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9708.847924
Coefficient of variation (CV)85.34081364
Kurtosis98517.91792
Mean113.7655889
Median Absolute Deviation (MAD)3
Skewness306.4448211
Sum12519448
Variance94261728.01
MonotonicityNot monotonic
2024-10-21T22:50:01.883299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23056
21.0%
1 16574
15.1%
2 10545
 
9.6%
3 7198
 
6.5%
4 5502
 
5.0%
5 4376
 
4.0%
6 3640
 
3.3%
7 3123
 
2.8%
8 2615
 
2.4%
9 2343
 
2.1%
Other values (1659) 31074
28.2%
ValueCountFrequency (%)
0 23056
21.0%
1 16574
15.1%
2 10545
9.6%
3 7198
 
6.5%
4 5502
 
5.0%
ValueCountFrequency (%)
3132624 1
< 0.1%
420039 1
< 0.1%
207148 1
< 0.1%
197172 1
< 0.1%
182118 1
< 0.1%

Población femenina de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct1644
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.8648929
Minimum0
Maximum3025243
Zeros23831
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:02.129618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile81
Maximum3025243
Range3025243
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9376.29152
Coefficient of variation (CV)85.3438371
Kurtosis98507.73697
Mean109.8648929
Median Absolute Deviation (MAD)3
Skewness306.4243225
Sum12090192
Variance87914842.67
MonotonicityNot monotonic
2024-10-21T22:50:02.390970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23831
21.7%
1 16689
15.2%
2 10475
 
9.5%
3 7168
 
6.5%
4 5467
 
5.0%
5 4456
 
4.0%
6 3635
 
3.3%
7 3037
 
2.8%
8 2598
 
2.4%
9 2252
 
2.0%
Other values (1634) 30438
27.7%
ValueCountFrequency (%)
0 23831
21.7%
1 16689
15.2%
2 10475
9.5%
3 7168
 
6.5%
4 5467
 
5.0%
ValueCountFrequency (%)
3025243 1
< 0.1%
406085 1
< 0.1%
199714 1
< 0.1%
191097 1
< 0.1%
175272 1
< 0.1%

Población de 3 años y más
Real number (ℝ)

Skewed 

Distinct6986
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3804.928375
Minimum0
Maximum104781265
Zeros72
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:02.637317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q126
median95
Q3331
95-th percentile2483
Maximum104781265
Range104781265
Interquartile range (IQR)305

Descriptive statistics

Standard deviation325188.1004
Coefficient of variation (CV)85.46497288
Kurtosis97986.08281
Mean3804.928375
Median Absolute Deviation (MAD)80
Skewness305.2872485
Sum418717148
Variance1.057473006 × 1011
MonotonicityNot monotonic
2024-10-21T22:50:02.844340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1740
 
1.6%
10 1712
 
1.6%
13 1705
 
1.5%
11 1691
 
1.5%
15 1609
 
1.5%
14 1589
 
1.4%
16 1566
 
1.4%
9 1431
 
1.3%
17 1390
 
1.3%
18 1369
 
1.2%
Other values (6976) 94244
85.6%
ValueCountFrequency (%)
0 72
 
0.1%
1 4
 
< 0.1%
2 7
 
< 0.1%
3 95
0.1%
4 222
0.2%
ValueCountFrequency (%)
104781265 1
< 0.1%
14163190 1
< 0.1%
8295664 1
< 0.1%
7159968 1
< 0.1%
6857151 1
< 0.1%

Población masculina de 3 años y más
Real number (ℝ)

Skewed 

Distinct5220
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1852.419679
Minimum0
Maximum51022388
Zeros81
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:03.051574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median47
Q3164
95-th percentile1213.5
Maximum51022388
Range51022388
Interquartile range (IQR)151

Descriptive statistics

Standard deviation158317.0403
Coefficient of variation (CV)85.46499589
Kurtosis98061.36079
Mean1852.419679
Median Absolute Deviation (MAD)39
Skewness305.4473616
Sum203851376
Variance2.506428523 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:03.275292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3198
 
2.9%
7 3166
 
2.9%
5 3065
 
2.8%
8 2999
 
2.7%
9 2695
 
2.4%
10 2451
 
2.2%
4 2306
 
2.1%
11 2221
 
2.0%
12 1919
 
1.7%
14 1690
 
1.5%
Other values (5210) 84336
76.6%
ValueCountFrequency (%)
0 81
 
0.1%
1 57
 
0.1%
2 364
 
0.3%
3 1446
1.3%
4 2306
2.1%
ValueCountFrequency (%)
51022388 1
< 0.1%
6883537 1
< 0.1%
3952770 1
< 0.1%
3451111 1
< 0.1%
3350163 1
< 0.1%

Población femenina de 3 años y más
Real number (ℝ)

Skewed 

Distinct5302
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1952.508696
Minimum0
Maximum53758877
Zeros212
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:03.471636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median47
Q3168
95-th percentile1273
Maximum53758877
Range53758877
Interquartile range (IQR)155

Descriptive statistics

Standard deviation166872.8984
Coefficient of variation (CV)85.46589254
Kurtosis97910.42234
Mean1952.508696
Median Absolute Deviation (MAD)40
Skewness305.1261786
Sum214865772
Variance2.784656423 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:03.687612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3166
 
2.9%
5 3085
 
2.8%
7 3011
 
2.7%
8 2833
 
2.6%
4 2559
 
2.3%
9 2556
 
2.3%
10 2315
 
2.1%
11 2155
 
2.0%
12 1875
 
1.7%
3 1744
 
1.6%
Other values (5292) 84747
77.0%
ValueCountFrequency (%)
0 212
 
0.2%
1 370
 
0.3%
2 815
 
0.7%
3 1744
1.6%
4 2559
2.3%
ValueCountFrequency (%)
53758877 1
< 0.1%
7279653 1
< 0.1%
4342894 1
< 0.1%
3708857 1
< 0.1%
3506988 1
< 0.1%

Población de 5 años y más
Real number (ℝ)

Skewed 

Distinct6847
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3646.209976
Minimum0
Maximum100410810
Zeros72
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:03.952665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q125
median90
Q3315
95-th percentile2376
Maximum100410810
Range100410810
Interquartile range (IQR)290

Descriptive statistics

Standard deviation311641.4858
Coefficient of variation (CV)85.46997784
Kurtosis97964.69448
Mean3646.209976
Median Absolute Deviation (MAD)76
Skewness305.2402023
Sum401250823
Variance9.71204157 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:04.143282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 1822
 
1.7%
13 1802
 
1.6%
12 1784
 
1.6%
10 1760
 
1.6%
9 1663
 
1.5%
14 1658
 
1.5%
15 1617
 
1.5%
16 1567
 
1.4%
8 1385
 
1.3%
17 1374
 
1.2%
Other values (6837) 93614
85.1%
ValueCountFrequency (%)
0 72
 
0.1%
1 4
 
< 0.1%
2 10
 
< 0.1%
3 95
0.1%
4 236
0.2%
ValueCountFrequency (%)
100410810 1
< 0.1%
13562702 1
< 0.1%
8034809 1
< 0.1%
6885949 1
< 0.1%
6569065 1
< 0.1%

Población masculina de 5 años y más
Real number (ℝ)

Skewed 

Distinct5114
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1772.003926
Minimum0
Maximum48808069
Zeros82
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:04.325068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median45
Q3156
95-th percentile1157
Maximum48808069
Range48808069
Interquartile range (IQR)143

Descriptive statistics

Standard deviation151453.5945
Coefficient of variation (CV)85.47023644
Kurtosis98042.38624
Mean1772.003926
Median Absolute Deviation (MAD)38
Skewness305.4054856
Sum195001944
Variance2.293819129 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:04.564868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3410
 
3.1%
5 3327
 
3.0%
7 3254
 
3.0%
8 3022
 
2.7%
9 2693
 
2.4%
4 2553
 
2.3%
10 2438
 
2.2%
11 2167
 
2.0%
12 1922
 
1.7%
13 1754
 
1.6%
Other values (5104) 83506
75.9%
ValueCountFrequency (%)
0 82
 
0.1%
1 64
 
0.1%
2 421
 
0.4%
3 1710
1.6%
4 2553
2.3%
ValueCountFrequency (%)
48808069 1
< 0.1%
6580449 1
< 0.1%
3820187 1
< 0.1%
3312384 1
< 0.1%
3203560 1
< 0.1%

Población femenina de 5 años y más
Real number (ℝ)

Skewed 

Distinct5235
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1874.20605
Minimum0
Maximum51602741
Zeros212
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:04.743684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median45
Q3160
95-th percentile1216
Maximum51602741
Range51602741
Interquartile range (IQR)148

Descriptive statistics

Standard deviation160189.7825
Coefficient of variation (CV)85.47074238
Kurtosis97886.69417
Mean1874.20605
Median Absolute Deviation (MAD)38
Skewness305.07411
Sum206248879
Variance2.566076641 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:04.932709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3356
 
3.0%
5 3306
 
3.0%
7 3068
 
2.8%
8 2891
 
2.6%
4 2854
 
2.6%
9 2545
 
2.3%
10 2340
 
2.1%
11 2075
 
1.9%
3 1971
 
1.8%
12 1822
 
1.7%
Other values (5225) 83818
76.2%
ValueCountFrequency (%)
0 212
 
0.2%
1 389
 
0.4%
2 919
 
0.8%
3 1971
1.8%
4 2854
2.6%
ValueCountFrequency (%)
51602741 1
< 0.1%
6982253 1
< 0.1%
4214622 1
< 0.1%
3573565 1
< 0.1%
3365505 1
< 0.1%

Población de 12 años y más
Real number (ℝ)

Skewed 

Distinct6365
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3083.894144
Minimum0
Maximum84927468
Zeros72
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:05.124839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q121
median73
Q3258
95-th percentile1973
Maximum84927468
Range84927468
Interquartile range (IQR)237

Descriptive statistics

Standard deviation263658.2449
Coefficient of variation (CV)85.49523188
Kurtosis97858.74295
Mean3083.894144
Median Absolute Deviation (MAD)61
Skewness305.0109696
Sum339370215
Variance6.951567013 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:05.284073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 2321
 
2.1%
8 2220
 
2.0%
10 2213
 
2.0%
11 2174
 
2.0%
12 2098
 
1.9%
13 1850
 
1.7%
14 1808
 
1.6%
7 1783
 
1.6%
15 1657
 
1.5%
16 1469
 
1.3%
Other values (6355) 90453
82.2%
ValueCountFrequency (%)
0 72
 
0.1%
1 4
 
< 0.1%
2 15
 
< 0.1%
3 109
 
0.1%
4 318
0.3%
ValueCountFrequency (%)
84927468 1
< 0.1%
11478761 1
< 0.1%
7110465 1
< 0.1%
5860185 1
< 0.1%
5549002 1
< 0.1%

Población masculina de 12 años y más
Real number (ℝ)

Skewed 

Distinct4752
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1486.547626
Minimum0
Maximum40947872
Zeros85
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:05.479292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median36
Q3127
95-th percentile949
Maximum40947872
Range40947872
Interquartile range (IQR)117

Descriptive statistics

Standard deviation127093.9335
Coefficient of variation (CV)85.49603882
Kurtosis97947.81039
Mean1486.547626
Median Absolute Deviation (MAD)30
Skewness305.2000066
Sum163588620
Variance1.615286793 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:05.752480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4258
 
3.9%
6 3999
 
3.6%
4 3884
 
3.5%
7 3531
 
3.2%
8 3145
 
2.9%
3 2945
 
2.7%
9 2683
 
2.4%
10 2346
 
2.1%
11 2102
 
1.9%
12 1883
 
1.7%
Other values (4742) 79270
72.0%
ValueCountFrequency (%)
0 85
 
0.1%
1 111
 
0.1%
2 728
 
0.7%
3 2945
2.7%
4 3884
3.5%
ValueCountFrequency (%)
40947872 1
< 0.1%
5522705 1
< 0.1%
3350128 1
< 0.1%
2790969 1
< 0.1%
2685806 1
< 0.1%

Población femenina de 12 años y más
Real number (ℝ)

Skewed 

Distinct4854
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1597.346519
Minimum0
Maximum43979596
Zeros213
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:05.980513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median37
Q3131
95-th percentile1021
Maximum43979596
Range43979596
Interquartile range (IQR)121

Descriptive statistics

Standard deviation136566.4325
Coefficient of variation (CV)85.49580877
Kurtosis97769.87901
Mean1597.346519
Median Absolute Deviation (MAD)31
Skewness304.8221229
Sum175781595
Variance1.865039049 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:06.202482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4168
 
3.8%
5 4137
 
3.8%
6 3779
 
3.4%
7 3340
 
3.0%
3 3215
 
2.9%
8 2905
 
2.6%
9 2571
 
2.3%
10 2221
 
2.0%
11 2040
 
1.9%
12 1872
 
1.7%
Other values (4844) 79798
72.5%
ValueCountFrequency (%)
0 213
 
0.2%
1 462
 
0.4%
2 1279
 
1.2%
3 3215
2.9%
4 4168
3.8%
ValueCountFrequency (%)
43979596 1
< 0.1%
5956056 1
< 0.1%
3760337 1
< 0.1%
3069216 1
< 0.1%
2863196 1
< 0.1%

Población de 15 años y más
Real number (ℝ)

Skewed 

Distinct6124
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2847.699907
Minimum0
Maximum78423336
Zeros72
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:06.444006image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q119
median66
Q3232
95-th percentile1800.75
Maximum78423336
Range78423336
Interquartile range (IQR)213

Descriptive statistics

Standard deviation243512.7892
Coefficient of variation (CV)85.51209647
Kurtosis97784.55421
Mean2847.699907
Median Absolute Deviation (MAD)55
Skewness304.8532106
Sum313377984
Variance5.92984785 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:06.651055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2656
 
2.4%
9 2593
 
2.4%
10 2442
 
2.2%
11 2275
 
2.1%
7 2255
 
2.0%
12 2139
 
1.9%
6 1976
 
1.8%
13 1890
 
1.7%
14 1760
 
1.6%
15 1638
 
1.5%
Other values (6114) 88422
80.4%
ValueCountFrequency (%)
0 72
 
0.1%
1 4
 
< 0.1%
2 22
 
< 0.1%
3 120
 
0.1%
4 373
0.3%
ValueCountFrequency (%)
78423336 1
< 0.1%
10635400 1
< 0.1%
6715516 1
< 0.1%
5415656 1
< 0.1%
5127597 1
< 0.1%

Población masculina de 15 años y más
Real number (ℝ)

Skewed 

Distinct4573
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1367.024072
Minimum0
Maximum37656281
Zeros89
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:06.866600image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median33
Q3114
95-th percentile867
Maximum37656281
Range37656281
Interquartile range (IQR)105

Descriptive statistics

Standard deviation116898.8659
Coefficient of variation (CV)85.51339245
Kurtosis97877.02771
Mean1367.024072
Median Absolute Deviation (MAD)28
Skewness305.0493938
Sum150435531
Variance1.366534486 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:07.101909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4804
 
4.4%
4 4544
 
4.1%
6 4249
 
3.9%
3 3769
 
3.4%
7 3475
 
3.2%
8 3112
 
2.8%
9 2611
 
2.4%
10 2381
 
2.2%
11 2050
 
1.9%
12 1875
 
1.7%
Other values (4563) 77176
70.1%
ValueCountFrequency (%)
0 89
 
0.1%
1 140
 
0.1%
2 922
 
0.8%
3 3769
3.4%
4 4544
4.1%
ValueCountFrequency (%)
37656281 1
< 0.1%
5096596 1
< 0.1%
3150628 1
< 0.1%
2565685 1
< 0.1%
2472155 1
< 0.1%

Población femenina de 15 años y más
Real number (ℝ)

Skewed 

Distinct4691
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1480.675836
Minimum0
Maximum40767055
Zeros215
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:07.345987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median33
Q3118
95-th percentile939
Maximum40767055
Range40767055
Interquartile range (IQR)109

Descriptive statistics

Standard deviation126616.1494
Coefficient of variation (CV)85.51240343
Kurtosis97692.41542
Mean1480.675836
Median Absolute Deviation (MAD)28
Skewness304.6574458
Sum162942453
Variance1.603164929 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:07.603547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4846
 
4.4%
5 4448
 
4.0%
6 3960
 
3.6%
3 3941
 
3.6%
7 3460
 
3.1%
8 2816
 
2.6%
9 2565
 
2.3%
10 2232
 
2.0%
11 2003
 
1.8%
12 1814
 
1.6%
Other values (4681) 77961
70.8%
ValueCountFrequency (%)
0 215
 
0.2%
1 493
 
0.4%
2 1546
 
1.4%
3 3941
3.6%
4 4846
4.4%
ValueCountFrequency (%)
40767055 1
< 0.1%
5538804 1
< 0.1%
3564888 1
< 0.1%
2849971 1
< 0.1%
2655442 1
< 0.1%

Población de 18 años y más
Real number (ℝ)

Skewed 

Distinct5899
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2603.990767
Minimum0
Maximum71712388
Zeros72
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:07.834294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q117
median59
Q3207
95-th percentile1628
Maximum71712388
Range71712388
Interquartile range (IQR)190

Descriptive statistics

Standard deviation222720.6068
Coefficient of variation (CV)85.53049019
Kurtosis97704.60389
Mean2603.990767
Median Absolute Deviation (MAD)49
Skewness304.6825217
Sum286558768
Variance4.960446869 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:08.084302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3084
 
2.8%
6 2798
 
2.5%
9 2766
 
2.5%
7 2764
 
2.5%
10 2540
 
2.3%
11 2298
 
2.1%
12 2090
 
1.9%
13 1915
 
1.7%
14 1807
 
1.6%
15 1598
 
1.5%
Other values (5889) 86386
78.5%
ValueCountFrequency (%)
0 72
 
0.1%
1 4
 
< 0.1%
2 33
 
< 0.1%
3 143
 
0.1%
4 497
0.5%
ValueCountFrequency (%)
71712388 1
< 0.1%
9752837 1
< 0.1%
6289306 1
< 0.1%
4950172 1
< 0.1%
4696129 1
< 0.1%

Población masculina de 18 años y más
Real number (ℝ)

Skewed 

Distinct4372
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1244.418207
Minimum0
Maximum34279833
Zeros93
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:08.268312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median29
Q3101
95-th percentile778
Maximum34279833
Range34279833
Interquartile range (IQR)93

Descriptive statistics

Standard deviation106437.857
Coefficient of variation (CV)85.53222417
Kurtosis97801.62676
Mean1244.418207
Median Absolute Deviation (MAD)24
Skewness304.8881284
Sum136943246
Variance1.132901741 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:08.462293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5408
 
4.9%
5 5080
 
4.6%
3 4814
 
4.4%
6 4308
 
3.9%
7 3584
 
3.3%
8 3048
 
2.8%
9 2576
 
2.3%
10 2247
 
2.0%
11 2048
 
1.9%
12 1865
 
1.7%
Other values (4362) 75068
68.2%
ValueCountFrequency (%)
0 93
 
0.1%
1 197
 
0.2%
2 1268
 
1.2%
3 4814
4.4%
4 5408
4.9%
ValueCountFrequency (%)
34279833 1
< 0.1%
4653173 1
< 0.1%
2935800 1
< 0.1%
2330709 1
< 0.1%
2253813 1
< 0.1%

Población femenina de 18 años y más
Real number (ℝ)

Skewed 

Distinct4534
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1359.572561
Minimum0
Maximum37432555
Zeros224
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:08.730647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median30
Q3106
95-th percentile851.75
Maximum37432555
Range37432555
Interquartile range (IQR)98

Descriptive statistics

Standard deviation116285.0973
Coefficient of variation (CV)85.53062978
Kurtosis97608.03554
Mean1359.572561
Median Absolute Deviation (MAD)25
Skewness304.4775209
Sum149615522
Variance1.352222386 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:08.922097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5528
 
5.0%
3 5010
 
4.6%
5 4667
 
4.2%
6 4027
 
3.7%
7 3399
 
3.1%
8 2853
 
2.6%
9 2478
 
2.3%
10 2264
 
2.1%
2 1962
 
1.8%
11 1912
 
1.7%
Other values (4524) 75946
69.0%
ValueCountFrequency (%)
0 224
 
0.2%
1 566
 
0.5%
2 1962
 
1.8%
3 5010
4.6%
4 5528
5.0%
ValueCountFrequency (%)
37432555 1
< 0.1%
5099664 1
< 0.1%
3353506 1
< 0.1%
2619463 1
< 0.1%
2442316 1
< 0.1%

Población de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct2313
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.3366047
Minimum0
Maximum6535234
Zeros12673
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:09.103931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324
95-th percentile169
Maximum6535234
Range6535234
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20263.40528
Coefficient of variation (CV)85.37833981
Kurtosis98346.99707
Mean237.3366047
Median Absolute Deviation (MAD)6
Skewness306.0919988
Sum26117944
Variance410605593.7
MonotonicityNot monotonic
2024-10-21T22:50:09.301641image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12673
 
11.5%
1 12054
 
11.0%
2 9507
 
8.6%
3 7023
 
6.4%
4 5349
 
4.9%
5 4277
 
3.9%
6 3697
 
3.4%
7 3147
 
2.9%
8 2854
 
2.6%
9 2530
 
2.3%
Other values (2303) 46935
42.7%
ValueCountFrequency (%)
0 12673
11.5%
1 12054
11.0%
2 9507
8.6%
3 7023
6.4%
4 5349
4.9%
ValueCountFrequency (%)
6535234 1
< 0.1%
896023 1
< 0.1%
430553 1
< 0.1%
411905 1
< 0.1%
391086 1
< 0.1%

Población masculina de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct1717
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.4369082
Minimum0
Maximum3316316
Zeros22266
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:09.481777image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile86
Maximum3316316
Range3316316
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10282.34606
Coefficient of variation (CV)85.37537385
Kurtosis98360.16318
Mean120.4369082
Median Absolute Deviation (MAD)3
Skewness306.1172034
Sum13253600
Variance105726640.6
MonotonicityNot monotonic
2024-10-21T22:50:09.671048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22266
20.2%
1 16124
14.7%
2 10375
 
9.4%
3 7247
 
6.6%
4 5464
 
5.0%
5 4434
 
4.0%
6 3651
 
3.3%
7 3151
 
2.9%
8 2718
 
2.5%
9 2324
 
2.1%
Other values (1707) 32292
29.3%
ValueCountFrequency (%)
0 22266
20.2%
1 16124
14.7%
2 10375
9.4%
3 7247
 
6.6%
4 5464
 
5.0%
ValueCountFrequency (%)
3316316 1
< 0.1%
453293 1
< 0.1%
219149 1
< 0.1%
209062 1
< 0.1%
199034 1
< 0.1%

Población femenina de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct1697
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.8996965
Minimum0
Maximum3218918
Zeros22813
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:09.850867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile84
Maximum3218918
Range3218918
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9981.066725
Coefficient of variation (CV)85.3814597
Kurtosis98333.1439
Mean116.8996965
Median Absolute Deviation (MAD)3
Skewness306.0654131
Sum12864344
Variance99621692.97
MonotonicityNot monotonic
2024-10-21T22:50:10.044168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22813
20.7%
1 16067
14.6%
2 10591
 
9.6%
3 7208
 
6.5%
4 5547
 
5.0%
5 4498
 
4.1%
6 3529
 
3.2%
7 3075
 
2.8%
8 2682
 
2.4%
9 2411
 
2.2%
Other values (1687) 31625
28.7%
ValueCountFrequency (%)
0 22813
20.7%
1 16067
14.6%
2 10591
9.6%
3 7208
 
6.5%
4 5547
 
5.0%
ValueCountFrequency (%)
3218918 1
< 0.1%
442730 1
< 0.1%
211404 1
< 0.1%
202843 1
< 0.1%
192052 1
< 0.1%

Población de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct3128
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483.6976264
Minimum0
Maximum13318563
Zeros6911
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:10.219857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q349
95-th percentile349
Maximum13318563
Range13318563
Interquartile range (IQR)45

Descriptive statistics

Standard deviation41290.4162
Coefficient of variation (CV)85.36410753
Kurtosis98398.49783
Mean483.6976264
Median Absolute Deviation (MAD)12
Skewness306.186526
Sum53228989
Variance1704898470
MonotonicityNot monotonic
2024-10-21T22:50:10.428243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6911
 
6.3%
2 6697
 
6.1%
1 6665
 
6.1%
3 5956
 
5.4%
4 5011
 
4.6%
5 4168
 
3.8%
6 3489
 
3.2%
7 3017
 
2.7%
8 2558
 
2.3%
9 2363
 
2.1%
Other values (3118) 63211
57.4%
ValueCountFrequency (%)
0 6911
6.3%
1 6665
6.1%
2 6697
6.1%
3 5956
5.4%
4 5011
4.6%
ValueCountFrequency (%)
13318563 1
< 0.1%
1788406 1
< 0.1%
887878 1
< 0.1%
877596 1
< 0.1%
794113 1
< 0.1%

Población masculina de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct2351
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.4351453
Minimum0
Maximum6758200
Zeros12832
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:10.611212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile177
Maximum6758200
Range6758200
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20951.79754
Coefficient of variation (CV)85.36592228
Kurtosis98399.98829
Mean245.4351453
Median Absolute Deviation (MAD)6
Skewness306.1897666
Sum27009156
Variance438977820.1
MonotonicityNot monotonic
2024-10-21T22:50:10.799331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12832
 
11.7%
1 11323
 
10.3%
2 9239
 
8.4%
3 6784
 
6.2%
4 5233
 
4.8%
5 4244
 
3.9%
6 3712
 
3.4%
7 3092
 
2.8%
8 2738
 
2.5%
9 2491
 
2.3%
Other values (2341) 48358
43.9%
ValueCountFrequency (%)
0 12832
11.7%
1 11323
10.3%
2 9239
8.4%
3 6784
6.2%
4 5233
4.8%
ValueCountFrequency (%)
6758200 1
< 0.1%
907539 1
< 0.1%
451080 1
< 0.1%
445208 1
< 0.1%
403608 1
< 0.1%

Población femenina de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct2318
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.2624811
Minimum0
Maximum6560363
Zeros13564
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:11.001947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324
95-th percentile173
Maximum6560363
Range6560363
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20338.62631
Coefficient of variation (CV)85.36227025
Kurtosis98396.81487
Mean238.2624811
Median Absolute Deviation (MAD)6
Skewness306.1828586
Sum26219833
Variance413659720
MonotonicityNot monotonic
2024-10-21T22:50:11.180948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13564
 
12.3%
1 11662
 
10.6%
2 9027
 
8.2%
3 6743
 
6.1%
4 5229
 
4.8%
5 4172
 
3.8%
6 3658
 
3.3%
7 3015
 
2.7%
8 2658
 
2.4%
9 2484
 
2.3%
Other values (2308) 47834
43.5%
ValueCountFrequency (%)
0 13564
12.3%
1 11662
10.6%
2 9027
8.2%
3 6743
6.1%
4 5229
 
4.8%
ValueCountFrequency (%)
6560363 1
< 0.1%
880867 1
< 0.1%
436798 1
< 0.1%
432388 1
< 0.1%
390505 1
< 0.1%

Población de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct3315
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560.8436109
Minimum0
Maximum15443365
Zeros6015
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:11.367685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median16
Q358
95-th percentile409
Maximum15443365
Range15443365
Interquartile range (IQR)54

Descriptive statistics

Standard deviation47866.87425
Coefficient of variation (CV)85.34798886
Kurtosis98485.81338
Mean560.8436109
Median Absolute Deviation (MAD)14
Skewness306.3595758
Sum61718596
Variance2291237651
MonotonicityNot monotonic
2024-10-21T22:50:11.561231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6015
 
5.5%
2 5979
 
5.4%
1 5598
 
5.1%
3 5535
 
5.0%
4 4827
 
4.4%
5 3939
 
3.6%
6 3555
 
3.2%
7 3005
 
2.7%
8 2558
 
2.3%
9 2341
 
2.1%
Other values (3305) 66694
60.6%
ValueCountFrequency (%)
0 6015
5.5%
1 5598
5.1%
2 5979
5.4%
3 5535
5.0%
4 4827
4.4%
ValueCountFrequency (%)
15443365 1
< 0.1%
2034463 1
< 0.1%
1044620 1
< 0.1%
1008948 1
< 0.1%
926644 1
< 0.1%

Población masculina de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2496
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.4110099
Minimum0
Maximum7831926
Zeros11144
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:11.758361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q330
95-th percentile206
Maximum7831926
Range7831926
Interquartile range (IQR)28

Descriptive statistics

Standard deviation24274.86535
Coefficient of variation (CV)85.35135596
Kurtosis98490.19194
Mean284.4110099
Median Absolute Deviation (MAD)7
Skewness306.368724
Sum31298294
Variance589269087.7
MonotonicityNot monotonic
2024-10-21T22:50:11.962189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11144
 
10.1%
1 10197
 
9.3%
2 8566
 
7.8%
3 6712
 
6.1%
4 5228
 
4.8%
5 4303
 
3.9%
6 3482
 
3.2%
7 3068
 
2.8%
8 2780
 
2.5%
9 2416
 
2.2%
Other values (2486) 52150
47.4%
ValueCountFrequency (%)
0 11144
10.1%
1 10197
9.3%
2 8566
7.8%
3 6712
6.1%
4 5228
4.8%
ValueCountFrequency (%)
7831926 1
< 0.1%
1031418 1
< 0.1%
530364 1
< 0.1%
512050 1
< 0.1%
470131 1
< 0.1%

Población femenina de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2478
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.4326009
Minimum0
Maximum7611439
Zeros11978
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:12.203708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q329
95-th percentile201
Maximum7611439
Range7611439
Interquartile range (IQR)27

Descriptive statistics

Standard deviation23592.01884
Coefficient of variation (CV)85.34456053
Kurtosis98481.1428
Mean276.4326009
Median Absolute Deviation (MAD)7
Skewness306.3497935
Sum30420302
Variance556583353
MonotonicityNot monotonic
2024-10-21T22:50:12.425478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11978
 
10.9%
1 10458
 
9.5%
2 8556
 
7.8%
3 6647
 
6.0%
4 5188
 
4.7%
5 4056
 
3.7%
6 3552
 
3.2%
7 3054
 
2.8%
8 2680
 
2.4%
9 2420
 
2.2%
Other values (2468) 51457
46.8%
ValueCountFrequency (%)
0 11978
10.9%
1 10458
9.5%
2 8556
7.8%
3 6647
6.0%
4 5188
4.7%
ValueCountFrequency (%)
7611439 1
< 0.1%
1003045 1
< 0.1%
514256 1
< 0.1%
496898 1
< 0.1%
456513 1
< 0.1%

Población de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2311
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.194237
Minimum0
Maximum6504132
Zeros12916
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:12.653939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile172.75
Maximum6504132
Range6504132
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20156.0934
Coefficient of variation (CV)85.33693987
Kurtosis98553.18984
Mean236.194237
Median Absolute Deviation (MAD)6
Skewness306.4933874
Sum25992231
Variance406268101
MonotonicityNot monotonic
2024-10-21T22:50:12.869714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12916
 
11.7%
1 11642
 
10.6%
2 9036
 
8.2%
3 6850
 
6.2%
4 5220
 
4.7%
5 4285
 
3.9%
6 3552
 
3.2%
7 3175
 
2.9%
8 2758
 
2.5%
9 2407
 
2.2%
Other values (2301) 48205
43.8%
ValueCountFrequency (%)
0 12916
11.7%
1 11642
10.6%
2 9036
8.2%
3 6850
6.2%
4 5220
4.7%
ValueCountFrequency (%)
6504132 1
< 0.1%
843361 1
< 0.1%
444529 1
< 0.1%
421405 1
< 0.1%
394949 1
< 0.1%

Población masculina de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct1707
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.5235538
Minimum0
Maximum3291591
Zeros21939
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:13.052802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q313
95-th percentile87
Maximum3291591
Range3291591
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10200.23048
Coefficient of variation (CV)85.3407563
Kurtosis98564.70455
Mean119.5235538
Median Absolute Deviation (MAD)4
Skewness306.5168643
Sum13153089
Variance104044701.8
MonotonicityNot monotonic
2024-10-21T22:50:13.296024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21939
19.9%
1 15714
14.3%
2 10020
 
9.1%
3 7160
 
6.5%
4 5430
 
4.9%
5 4453
 
4.0%
6 3579
 
3.3%
7 3120
 
2.8%
8 2722
 
2.5%
9 2366
 
2.2%
Other values (1697) 33543
30.5%
ValueCountFrequency (%)
0 21939
19.9%
1 15714
14.3%
2 10020
9.1%
3 7160
 
6.5%
4 5430
 
4.9%
ValueCountFrequency (%)
3291591 1
< 0.1%
426109 1
< 0.1%
225284 1
< 0.1%
213651 1
< 0.1%
199500 1
< 0.1%

Población femenina de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct1691
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.6706832
Minimum0
Maximum3212541
Zeros23007
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:13.486168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile86
Maximum3212541
Range3212541
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9955.873047
Coefficient of variation (CV)85.33311691
Kurtosis98540.99449
Mean116.6706832
Median Absolute Deviation (MAD)3
Skewness306.4684478
Sum12839142
Variance99119408.13
MonotonicityNot monotonic
2024-10-21T22:50:14.601249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23007
20.9%
1 15417
14.0%
2 10211
 
9.3%
3 7015
 
6.4%
4 5418
 
4.9%
5 4335
 
3.9%
6 3684
 
3.3%
7 3122
 
2.8%
8 2599
 
2.4%
9 2340
 
2.1%
Other values (1681) 32898
29.9%
ValueCountFrequency (%)
0 23007
20.9%
1 15417
14.0%
2 10211
9.3%
3 7015
 
6.4%
4 5418
 
4.9%
ValueCountFrequency (%)
3212541 1
< 0.1%
417252 1
< 0.1%
219245 1
< 0.1%
207754 1
< 0.1%
195449 1
< 0.1%

Población de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct2344
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.7091398
Minimum0
Maximum6710948
Zeros12669
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:14.793776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile176
Maximum6710948
Range6710948
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20802.41623
Coefficient of variation (CV)85.35755471
Kurtosis98452.53915
Mean243.7091398
Median Absolute Deviation (MAD)6
Skewness306.28631
Sum26819216
Variance432740521.2
MonotonicityNot monotonic
2024-10-21T22:50:15.052949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12669
 
11.5%
1 11775
 
10.7%
2 9318
 
8.5%
3 6913
 
6.3%
4 5196
 
4.7%
5 4278
 
3.9%
6 3546
 
3.2%
7 3141
 
2.9%
8 2658
 
2.4%
9 2378
 
2.2%
Other values (2334) 48174
43.8%
ValueCountFrequency (%)
0 12669
11.5%
1 11775
10.7%
2 9318
8.5%
3 6913
6.3%
4 5196
4.7%
ValueCountFrequency (%)
6710948 1
< 0.1%
882563 1
< 0.1%
465484 1
< 0.1%
431468 1
< 0.1%
426210 1
< 0.1%

Población masculina de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct1751
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.6058648
Minimum0
Maximum3376448
Zeros21907
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:15.335604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q313
95-th percentile89
Maximum3376448
Range3376448
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10465.87012
Coefficient of variation (CV)85.36190444
Kurtosis98465.64717
Mean122.6058648
Median Absolute Deviation (MAD)4
Skewness306.313756
Sum13492285
Variance109534437.3
MonotonicityNot monotonic
2024-10-21T22:50:15.536534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21907
19.9%
1 15736
14.3%
2 10182
 
9.3%
3 7123
 
6.5%
4 5497
 
5.0%
5 4317
 
3.9%
6 3607
 
3.3%
7 3122
 
2.8%
8 2721
 
2.5%
9 2402
 
2.2%
Other values (1741) 33432
30.4%
ValueCountFrequency (%)
0 21907
19.9%
1 15736
14.3%
2 10182
9.3%
3 7123
 
6.5%
4 5497
 
5.0%
ValueCountFrequency (%)
3376448 1
< 0.1%
443423 1
< 0.1%
234976 1
< 0.1%
218342 1
< 0.1%
214828 1
< 0.1%

Población femenina de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct1735
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.103275
Minimum0
Maximum3334500
Zeros22818
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:15.802976image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile88
Maximum3334500
Range3334500
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10336.56714
Coefficient of variation (CV)85.35332463
Kurtosis98438.47203
Mean121.103275
Median Absolute Deviation (MAD)3
Skewness306.2567884
Sum13326931
Variance106844620.3
MonotonicityNot monotonic
2024-10-21T22:50:16.071861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22818
20.7%
1 15748
14.3%
2 10218
 
9.3%
3 7234
 
6.6%
4 5258
 
4.8%
5 4257
 
3.9%
6 3596
 
3.3%
7 3118
 
2.8%
8 2668
 
2.4%
9 2312
 
2.1%
Other values (1725) 32819
29.8%
ValueCountFrequency (%)
0 22818
20.7%
1 15748
14.3%
2 10218
9.3%
3 7234
 
6.6%
4 5258
 
4.8%
ValueCountFrequency (%)
3334500 1
< 0.1%
439140 1
< 0.1%
230508 1
< 0.1%
213126 1
< 0.1%
211382 1
< 0.1%

Población de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct3126
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.9378442
Minimum0
Maximum14207435
Zeros6831
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:16.404834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q343
95-th percentile334
Maximum14207435
Range14207435
Interquartile range (IQR)40

Descriptive statistics

Standard deviation44093.19646
Coefficient of variation (CV)85.46222566
Kurtosis97982.77942
Mean515.9378442
Median Absolute Deviation (MAD)11
Skewness305.2865206
Sum56776896
Variance1944209974
MonotonicityNot monotonic
2024-10-21T22:50:16.777796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7478
 
6.8%
1 7403
 
6.7%
0 6831
 
6.2%
3 6417
 
5.8%
4 5360
 
4.9%
5 4336
 
3.9%
6 3644
 
3.3%
7 3097
 
2.8%
8 2771
 
2.5%
9 2466
 
2.2%
Other values (3116) 60243
54.7%
ValueCountFrequency (%)
0 6831
6.2%
1 7403
6.7%
2 7478
6.8%
3 6417
5.8%
4 5360
4.9%
ValueCountFrequency (%)
14207435 1
< 0.1%
1948965 1
< 0.1%
1050566 1
< 0.1%
952623 1
< 0.1%
935997 1
< 0.1%

Población masculina de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2269
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.596496
Minimum0
Maximum6956877
Zeros13611
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:17.106081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q321
95-th percentile161
Maximum6956877
Range6956877
Interquartile range (IQR)19

Descriptive statistics

Standard deviation21593.30293
Coefficient of variation (CV)85.48536211
Kurtosis97939.47861
Mean252.596496
Median Absolute Deviation (MAD)5
Skewness305.194679
Sum27797234
Variance466270731.3
MonotonicityNot monotonic
2024-10-21T22:50:17.404157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13611
 
12.4%
1 12961
 
11.8%
2 9964
 
9.1%
3 7168
 
6.5%
4 5526
 
5.0%
5 4408
 
4.0%
6 3644
 
3.3%
7 3218
 
2.9%
8 2737
 
2.5%
9 2469
 
2.2%
Other values (2259) 44340
40.3%
ValueCountFrequency (%)
0 13611
12.4%
1 12961
11.8%
2 9964
9.1%
3 7168
6.5%
4 5526
5.0%
ValueCountFrequency (%)
6956877 1
< 0.1%
959724 1
< 0.1%
520805 1
< 0.1%
470978 1
< 0.1%
453937 1
< 0.1%

Población femenina de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2362
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.3413482
Minimum0
Maximum7250558
Zeros12690
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:17.729683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q322
95-th percentile174
Maximum7250558
Range7250558
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22500.31786
Coefficient of variation (CV)85.44164453
Kurtosis98017.00256
Mean263.3413482
Median Absolute Deviation (MAD)5
Skewness305.3587719
Sum28979662
Variance506264303.8
MonotonicityNot monotonic
2024-10-21T22:50:18.003135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13141
 
11.9%
0 12690
 
11.5%
2 9735
 
8.8%
3 7236
 
6.6%
4 5438
 
4.9%
5 4467
 
4.1%
6 3633
 
3.3%
7 3082
 
2.8%
8 2754
 
2.5%
9 2399
 
2.2%
Other values (2352) 45471
41.3%
ValueCountFrequency (%)
0 12690
11.5%
1 13141
11.9%
2 9735
8.8%
3 7236
6.6%
4 5438
4.9%
ValueCountFrequency (%)
7250558 1
< 0.1%
989241 1
< 0.1%
529761 1
< 0.1%
482060 1
< 0.1%
481645 1
< 0.1%

Población femenina de 15 a 49 años 
Real number (ℝ)

Skewed 

Distinct4185
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1115.214556
Minimum0
Maximum30703546
Zeros991
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:18.357320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median24
Q388
95-th percentile698
Maximum30703546
Range30703546
Interquartile range (IQR)81

Descriptive statistics

Standard deviation95353.86934
Coefficient of variation (CV)85.50271233
Kurtosis97721.69858
Mean1115.214556
Median Absolute Deviation (MAD)20
Skewness304.7409864
Sum122724901
Variance9092360399
MonotonicityNot monotonic
2024-10-21T22:50:18.773289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5601
 
5.1%
4 5228
 
4.8%
5 4530
 
4.1%
2 4449
 
4.0%
6 3758
 
3.4%
7 3119
 
2.8%
8 2785
 
2.5%
9 2385
 
2.2%
1 2219
 
2.0%
10 2176
 
2.0%
Other values (4175) 73796
67.1%
ValueCountFrequency (%)
0 991
 
0.9%
1 2219
 
2.0%
2 4449
4.0%
3 5601
5.1%
4 5228
4.8%
ValueCountFrequency (%)
30703546 1
< 0.1%
4291585 1
< 0.1%
2495688 1
< 0.1%
2076728 1
< 0.1%
1990021 1
< 0.1%

Población de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2778
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.9990186
Minimum0
Maximum10055379
Zeros7231
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:19.191396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q335
95-th percentile262
Maximum10055379
Range10055379
Interquartile range (IQR)32

Descriptive statistics

Standard deviation31204.00819
Coefficient of variation (CV)85.49066325
Kurtosis98012.45297
Mean364.9990186
Median Absolute Deviation (MAD)9
Skewness305.269799
Sum40166682
Variance973690126.9
MonotonicityNot monotonic
2024-10-21T22:50:19.655251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 9694
 
8.8%
1 8237
 
7.5%
0 7231
 
6.6%
3 6874
 
6.2%
4 5782
 
5.3%
5 4582
 
4.2%
6 3826
 
3.5%
7 3187
 
2.9%
8 2664
 
2.4%
9 2538
 
2.3%
Other values (2768) 55431
50.4%
ValueCountFrequency (%)
0 7231
6.6%
1 8237
7.5%
2 9694
8.8%
3 6874
6.2%
4 5782
5.3%
ValueCountFrequency (%)
10055379 1
< 0.1%
1137647 1
< 0.1%
1003648 1
< 0.1%
798557 1
< 0.1%
671323 1
< 0.1%

Población masculina de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2032
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.7844992
Minimum0
Maximum4679538
Zeros11785
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:19.957995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q318
95-th percentile126
Maximum4679538
Range4679538
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14505.53398
Coefficient of variation (CV)85.43497227
Kurtosis98443.7663
Mean169.7844992
Median Absolute Deviation (MAD)4
Skewness306.1913718
Sum18684105
Variance210410516.1
MonotonicityNot monotonic
2024-10-21T22:50:20.274105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15957
 
14.5%
0 11785
 
10.7%
2 11335
 
10.3%
3 7795
 
7.1%
4 5700
 
5.2%
5 4574
 
4.2%
6 3658
 
3.3%
7 3210
 
2.9%
8 2724
 
2.5%
9 2466
 
2.2%
Other values (2022) 40842
37.1%
ValueCountFrequency (%)
0 11785
10.7%
1 15957
14.5%
2 11335
10.3%
3 7795
7.1%
4 5700
 
5.2%
ValueCountFrequency (%)
4679538 1
< 0.1%
521277 1
< 0.1%
423554 1
< 0.1%
373655 1
< 0.1%
312067 1
< 0.1%

Población femenina de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2084
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.2145194
Minimum0
Maximum5375841
Zeros14518
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:20.585910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile135
Maximum5375841
Range5375841
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16700.18115
Coefficient of variation (CV)85.5478435
Kurtosis97599.8921
Mean195.2145194
Median Absolute Deviation (MAD)4
Skewness304.3917582
Sum21482577
Variance278896050.6
MonotonicityNot monotonic
2024-10-21T22:50:20.877371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16439
14.9%
0 14518
 
13.2%
2 10835
 
9.8%
3 7171
 
6.5%
4 5383
 
4.9%
5 4190
 
3.8%
6 3530
 
3.2%
7 2954
 
2.7%
8 2654
 
2.4%
9 2373
 
2.2%
Other values (2074) 39999
36.3%
ValueCountFrequency (%)
0 14518
13.2%
1 16439
14.9%
2 10835
9.8%
3 7171
6.5%
4 5383
 
4.9%
ValueCountFrequency (%)
5375841 1
< 0.1%
616370 1
< 0.1%
580094 1
< 0.1%
424902 1
< 0.1%
359256 1
< 0.1%

Relación hombres-mujeres
Real number (ℝ)

Skewed 

Distinct5986
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.7541582
Minimum0
Maximum45300
Zeros164
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:21.113666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68.75
Q189.42
median100
Q3112.5
95-th percentile160
Maximum45300
Range45300
Interquartile range (IQR)23.08

Descriptive statistics

Standard deviation193.947418
Coefficient of variation (CV)1.816766871
Kurtosis47912.47283
Mean106.7541582
Median Absolute Deviation (MAD)11.11
Skewness211.9209891
Sum11747868.09
Variance37615.60093
MonotonicityNot monotonic
2024-10-21T22:50:21.422699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6403
 
5.8%
150 1323
 
1.2%
133.33 1238
 
1.1%
125 1143
 
1.0%
80 1016
 
0.9%
75 959
 
0.9%
200 947
 
0.9%
120 943
 
0.9%
83.33 934
 
0.8%
66.67 899
 
0.8%
Other values (5976) 94241
85.6%
ValueCountFrequency (%)
0 164
0.1%
1.92 1
 
< 0.1%
2.63 1
 
< 0.1%
9.09 1
 
< 0.1%
9.8 1
 
< 0.1%
ValueCountFrequency (%)
45300 1
< 0.1%
42680 1
< 0.1%
7075 1
< 0.1%
5206.9 1
< 0.1%
5072.22 1
< 0.1%

Población de cero a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct4461
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1180.85895
Minimum0
Maximum32515796
Zeros2301
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:21.768446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median34
Q3120
95-th percentile850
Maximum32515796
Range32515796
Interquartile range (IQR)111

Descriptive statistics

Standard deviation100793.9493
Coefficient of variation (CV)85.35646814
Kurtosis98444.95808
Mean1180.85895
Median Absolute Deviation (MAD)29
Skewness306.2846735
Sum129948804
Variance1.015942022 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:22.201704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 3359
 
3.1%
5 3348
 
3.0%
3 3269
 
3.0%
6 3073
 
2.8%
2 2863
 
2.6%
7 2792
 
2.5%
8 2602
 
2.4%
9 2405
 
2.2%
0 2301
 
2.1%
10 2073
 
1.9%
Other values (4451) 81961
74.5%
ValueCountFrequency (%)
0 2301
2.1%
1 2067
1.9%
2 2863
2.6%
3 3269
3.0%
4 3359
3.1%
ValueCountFrequency (%)
32515796 1
< 0.1%
4353914 1
< 0.1%
2136416 1
< 0.1%
2132581 1
< 0.1%
1937538 1
< 0.1%

Población de 15 a 64 años
Real number (ℝ)

Skewed 

Distinct5876
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2595.834969
Minimum0
Maximum71484423
Zeros106
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:22.560884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116
median58
Q3205
95-th percentile1613.75
Maximum71484423
Range71484423
Interquartile range (IQR)189

Descriptive statistics

Standard deviation222012.8215
Coefficient of variation (CV)85.52655472
Kurtosis97705.64117
Mean2595.834969
Median Absolute Deviation (MAD)49
Skewness304.6960667
Sum285661255
Variance4.928969292 × 1010
MonotonicityNot monotonic
2024-10-21T22:50:22.790134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2804
 
2.5%
8 2789
 
2.5%
9 2610
 
2.4%
6 2466
 
2.2%
10 2394
 
2.2%
11 2164
 
2.0%
12 1999
 
1.8%
13 1876
 
1.7%
14 1739
 
1.6%
5 1663
 
1.5%
Other values (5866) 87542
79.6%
ValueCountFrequency (%)
0 106
 
0.1%
1 115
 
0.1%
2 295
 
0.3%
3 558
0.5%
4 1165
1.1%
ValueCountFrequency (%)
71484423 1
< 0.1%
9890102 1
< 0.1%
6027661 1
< 0.1%
4856797 1
< 0.1%
4666739 1
< 0.1%

Población con limitación en la actividad
Real number (ℝ)

Skewed  Zeros 

Distinct2019
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.3580866
Minimum0
Maximum4527784
Zeros23155
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:23.068479image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile134
Maximum4527784
Range4527784
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14025.40768
Coefficient of variation (CV)85.33445461
Kurtosis98717.1756
Mean164.3580866
Median Absolute Deviation (MAD)4
Skewness306.8024074
Sum18086950
Variance196712060.6
MonotonicityNot monotonic
2024-10-21T22:50:23.305517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23155
21.0%
1 13958
 
12.7%
2 9523
 
8.7%
3 6794
 
6.2%
4 5176
 
4.7%
5 4019
 
3.7%
6 3309
 
3.0%
7 2800
 
2.5%
8 2529
 
2.3%
9 2186
 
2.0%
Other values (2009) 36597
33.3%
ValueCountFrequency (%)
0 23155
21.0%
1 13958
12.7%
2 9523
8.7%
3 6794
 
6.2%
4 5176
 
4.7%
ValueCountFrequency (%)
4527784 1
< 0.1%
530605 1
< 0.1%
385385 1
< 0.1%
315110 1
< 0.1%
290656 1
< 0.1%
Distinct1515
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.4816713
Minimum0
Maximum2437397
Zeros35120
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:23.573024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile74
Maximum2437397
Range2437397
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7546.424249
Coefficient of variation (CV)85.28799398
Kurtosis98908.84985
Mean88.4816713
Median Absolute Deviation (MAD)2
Skewness307.1852533
Sum9737054
Variance56948518.95
MonotonicityNot monotonic
2024-10-21T22:50:23.818650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35120
31.9%
1 16156
14.7%
2 9856
 
9.0%
3 6478
 
5.9%
4 4758
 
4.3%
5 3630
 
3.3%
6 2996
 
2.7%
7 2455
 
2.2%
8 1962
 
1.8%
9 1704
 
1.5%
Other values (1505) 24931
22.7%
ValueCountFrequency (%)
0 35120
31.9%
1 16156
14.7%
2 9856
 
9.0%
3 6478
 
5.9%
4 4758
 
4.3%
ValueCountFrequency (%)
2437397 1
< 0.1%
268128 1
< 0.1%
209547 1
< 0.1%
167663 1
< 0.1%
155358 1
< 0.1%
Distinct1101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.9046944
Minimum0
Maximum1292201
Zeros50975
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:24.032330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile40
Maximum1292201
Range1292201
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4005.248132
Coefficient of variation (CV)85.39119983
Kurtosis98477.88784
Mean46.9046944
Median Absolute Deviation (MAD)1
Skewness306.3249467
Sum5161674
Variance16042012.6
MonotonicityNot monotonic
2024-10-21T22:50:24.274267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50975
46.3%
1 16091
 
14.6%
2 8541
 
7.8%
3 5391
 
4.9%
4 3728
 
3.4%
5 2782
 
2.5%
6 2330
 
2.1%
7 1829
 
1.7%
8 1430
 
1.3%
9 1206
 
1.1%
Other values (1091) 15743
 
14.3%
ValueCountFrequency (%)
0 50975
46.3%
1 16091
 
14.6%
2 8541
 
7.8%
3 5391
 
4.9%
4 3728
 
3.4%
ValueCountFrequency (%)
1292201 1
< 0.1%
162243 1
< 0.1%
110264 1
< 0.1%
95221 1
< 0.1%
68348 1
< 0.1%
Distinct643
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.57593188
Minimum0
Maximum401534
Zeros63789
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:24.494668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum401534
Range401534
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1242.188802
Coefficient of variation (CV)85.22191323
Kurtosis99228.02092
Mean14.57593188
Median Absolute Deviation (MAD)0
Skewness307.9066265
Sum1604023
Variance1543033.02
MonotonicityNot monotonic
2024-10-21T22:50:24.754478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63789
58.0%
1 17468
 
15.9%
2 7958
 
7.2%
3 4698
 
4.3%
4 3053
 
2.8%
5 2007
 
1.8%
6 1495
 
1.4%
7 1089
 
1.0%
8 847
 
0.8%
9 684
 
0.6%
Other values (633) 6958
 
6.3%
ValueCountFrequency (%)
0 63789
58.0%
1 17468
 
15.9%
2 7958
 
7.2%
3 4698
 
4.3%
4 3053
 
2.8%
ValueCountFrequency (%)
401534 1
< 0.1%
45855 1
< 0.1%
31318 1
< 0.1%
27722 1
< 0.1%
24196 1
< 0.1%

Población con limitación para escuchar
Real number (ℝ)

Skewed  Zeros 

Distinct698
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.09829526
Minimum0
Maximum498640
Zeros62679
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:24.955643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum498640
Range498640
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1545.386693
Coefficient of variation (CV)85.38852255
Kurtosis98519.123
Mean18.09829526
Median Absolute Deviation (MAD)0
Skewness306.4028056
Sum1991645
Variance2388220.03
MonotonicityNot monotonic
2024-10-21T22:50:25.162501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62679
57.0%
1 16315
 
14.8%
2 7553
 
6.9%
3 4565
 
4.1%
4 3006
 
2.7%
5 2197
 
2.0%
6 1575
 
1.4%
7 1251
 
1.1%
8 987
 
0.9%
9 819
 
0.7%
Other values (688) 9099
 
8.3%
ValueCountFrequency (%)
0 62679
57.0%
1 16315
 
14.8%
2 7553
 
6.9%
3 4565
 
4.1%
4 3006
 
2.7%
ValueCountFrequency (%)
498640 1
< 0.1%
57792 1
< 0.1%
45429 1
< 0.1%
37662 1
< 0.1%
29960 1
< 0.1%
Distinct490
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.315913345
Minimum0
Maximum229029
Zeros79806
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:25.347328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum229029
Range229029
Interquartile range (IQR)1

Descriptive statistics

Standard deviation709.1195643
Coefficient of variation (CV)85.27260144
Kurtosis98895.44855
Mean8.315913345
Median Absolute Deviation (MAD)0
Skewness307.1395266
Sum915133
Variance502850.5564
MonotonicityNot monotonic
2024-10-21T22:50:25.560262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79806
72.5%
1 13250
 
12.0%
2 5130
 
4.7%
3 2607
 
2.4%
4 1600
 
1.5%
5 1093
 
1.0%
6 765
 
0.7%
7 655
 
0.6%
8 487
 
0.4%
9 347
 
0.3%
Other values (480) 4306
 
3.9%
ValueCountFrequency (%)
0 79806
72.5%
1 13250
 
12.0%
2 5130
 
4.7%
3 2607
 
2.4%
4 1600
 
1.5%
ValueCountFrequency (%)
229029 1
< 0.1%
24593 1
< 0.1%
20573 1
< 0.1%
15654 1
< 0.1%
15390 1
< 0.1%
Distinct473
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.59894953
Minimum0
Maximum209306
Zeros81132
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:25.764581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum209306
Range209306
Interquartile range (IQR)1

Descriptive statistics

Standard deviation648.7346726
Coefficient of variation (CV)85.37162538
Kurtosis98488.29514
Mean7.59894953
Median Absolute Deviation (MAD)0
Skewness306.3244603
Sum836234
Variance420856.6754
MonotonicityNot monotonic
2024-10-21T22:50:25.944823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81132
73.7%
1 12409
 
11.3%
2 4964
 
4.5%
3 2647
 
2.4%
4 1567
 
1.4%
5 1057
 
1.0%
6 769
 
0.7%
7 592
 
0.5%
8 415
 
0.4%
9 351
 
0.3%
Other values (463) 4143
 
3.8%
ValueCountFrequency (%)
0 81132
73.7%
1 12409
 
11.3%
2 4964
 
4.5%
3 2647
 
2.4%
4 1567
 
1.4%
ValueCountFrequency (%)
209306 1
< 0.1%
25512 1
< 0.1%
17290 1
< 0.1%
15488 1
< 0.1%
13525 1
< 0.1%

Población con limitación mental
Real number (ℝ)

Skewed  Zeros 

Distinct652
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.29068753
Minimum0
Maximum448873
Zeros64233
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:26.123724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum448873
Range448873
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1392.059681
Coefficient of variation (CV)85.4512542
Kurtosis98260.64676
Mean16.29068753
Median Absolute Deviation (MAD)0
Skewness305.7871542
Sum1792725
Variance1937830.156
MonotonicityNot monotonic
2024-10-21T22:50:26.301530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64233
58.4%
1 17366
 
15.8%
2 8109
 
7.4%
3 4665
 
4.2%
4 2984
 
2.7%
5 2062
 
1.9%
6 1457
 
1.3%
7 1043
 
0.9%
8 848
 
0.8%
9 639
 
0.6%
Other values (642) 6640
 
6.0%
ValueCountFrequency (%)
0 64233
58.4%
1 17366
 
15.8%
2 8109
 
7.4%
3 4665
 
4.2%
4 2984
 
2.7%
ValueCountFrequency (%)
448873 1
< 0.1%
50798 1
< 0.1%
41342 1
< 0.1%
34955 1
< 0.1%
31936 1
< 0.1%
Distinct6990
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3836.472966
Minimum0
Maximum105646736
Zeros89
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:26.498835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q126
median95
Q3334
95-th percentile2497.75
Maximum105646736
Range105646736
Interquartile range (IQR)308

Descriptive statistics

Standard deviation327877.301
Coefficient of variation (CV)85.46321162
Kurtosis97982.742
Mean3836.472966
Median Absolute Deviation (MAD)80
Skewness305.284377
Sum422188504
Variance1.075035245 × 1011
MonotonicityNot monotonic
2024-10-21T22:50:26.682615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 1681
 
1.5%
13 1646
 
1.5%
12 1611
 
1.5%
15 1611
 
1.5%
14 1572
 
1.4%
10 1564
 
1.4%
16 1482
 
1.3%
17 1446
 
1.3%
9 1389
 
1.3%
18 1281
 
1.2%
Other values (6980) 94763
86.1%
ValueCountFrequency (%)
0 89
 
0.1%
1 19
 
< 0.1%
2 77
 
0.1%
3 205
0.2%
4 322
0.3%
ValueCountFrequency (%)
105646736 1
< 0.1%
14362630 1
< 0.1%
8197915 1
< 0.1%
7195219 1
< 0.1%
6930797 1
< 0.1%
Distinct1649
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.8074169
Minimum0
Maximum2942092
Zeros22965
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:26.873460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile84
Maximum2942092
Range2942092
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9134.448203
Coefficient of variation (CV)85.52260197
Kurtosis97841.37298
Mean106.8074169
Median Absolute Deviation (MAD)3
Skewness305.0929848
Sum11753729
Variance83438143.98
MonotonicityNot monotonic
2024-10-21T22:50:27.047226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22965
20.9%
1 16804
15.3%
2 11401
 
10.4%
3 7892
 
7.2%
4 5858
 
5.3%
5 4545
 
4.1%
6 3744
 
3.4%
7 3093
 
2.8%
8 2520
 
2.3%
9 2126
 
1.9%
Other values (1639) 29098
26.4%
ValueCountFrequency (%)
0 22965
20.9%
1 16804
15.3%
2 11401
10.4%
3 7892
 
7.2%
4 5858
 
5.3%
ValueCountFrequency (%)
2942092 1
< 0.1%
438872 1
< 0.1%
205473 1
< 0.1%
187447 1
< 0.1%
155374 1
< 0.1%
Distinct1215
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.48377951
Minimum0
Maximum1500801
Zeros35305
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:27.240751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile43
Maximum1500801
Range1500801
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4659.197456
Coefficient of variation (CV)85.51531296
Kurtosis97874.79137
Mean54.48377951
Median Absolute Deviation (MAD)1
Skewness305.1595326
Sum5995722
Variance21708120.93
MonotonicityNot monotonic
2024-10-21T22:50:27.418918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35305
32.1%
1 19888
18.1%
2 11467
 
10.4%
3 7279
 
6.6%
4 5102
 
4.6%
5 3905
 
3.5%
6 3061
 
2.8%
7 2300
 
2.1%
8 1968
 
1.8%
9 1568
 
1.4%
Other values (1205) 18203
16.5%
ValueCountFrequency (%)
0 35305
32.1%
1 19888
18.1%
2 11467
 
10.4%
3 7279
 
6.6%
4 5102
 
4.6%
ValueCountFrequency (%)
1500801 1
< 0.1%
222823 1
< 0.1%
104962 1
< 0.1%
96065 1
< 0.1%
79092 1
< 0.1%
Distinct1170
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.32363739
Minimum0
Maximum1441291
Zeros36366
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:27.614991image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile41
Maximum1441291
Range1441291
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4475.259525
Coefficient of variation (CV)85.53035967
Kurtosis97805.83793
Mean52.32363739
Median Absolute Deviation (MAD)1
Skewness305.0221159
Sum5758007
Variance20027947.81
MonotonicityNot monotonic
2024-10-21T22:50:27.806678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36366
33.0%
1 19931
18.1%
2 11456
 
10.4%
3 7256
 
6.6%
4 5014
 
4.6%
5 3706
 
3.4%
6 2896
 
2.6%
7 2335
 
2.1%
8 1919
 
1.7%
9 1605
 
1.5%
Other values (1160) 17562
16.0%
ValueCountFrequency (%)
0 36366
33.0%
1 19931
18.1%
2 11456
 
10.4%
3 7256
 
6.6%
4 5014
 
4.6%
ValueCountFrequency (%)
1441291 1
< 0.1%
216049 1
< 0.1%
100511 1
< 0.1%
91382 1
< 0.1%
76282 1
< 0.1%
Distinct648
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.74758737
Minimum0
Maximum407458
Zeros61995
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:27.980153image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum407458
Range407458
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1265.450453
Coefficient of variation (CV)85.80728641
Kurtosis97701.8665
Mean14.74758737
Median Absolute Deviation (MAD)0
Skewness304.6753688
Sum1622913
Variance1601364.85
MonotonicityNot monotonic
2024-10-21T22:50:28.179740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61995
56.3%
1 18008
 
16.4%
2 8519
 
7.7%
3 4937
 
4.5%
4 3218
 
2.9%
5 2062
 
1.9%
6 1468
 
1.3%
7 1147
 
1.0%
8 861
 
0.8%
9 752
 
0.7%
Other values (638) 7079
 
6.4%
ValueCountFrequency (%)
0 61995
56.3%
1 18008
 
16.4%
2 8519
 
7.7%
3 4937
 
4.5%
4 3218
 
2.9%
ValueCountFrequency (%)
407458 1
< 0.1%
46216 1
< 0.1%
42952 1
< 0.1%
34202 1
< 0.1%
27606 1
< 0.1%
Distinct497
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.808361958
Minimum0
Maximum215711
Zeros73023
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:28.374167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum215711
Range215711
Interquartile range (IQR)1

Descriptive statistics

Standard deviation669.6556504
Coefficient of variation (CV)85.76134841
Kurtosis97864.21339
Mean7.808361958
Median Absolute Deviation (MAD)0
Skewness305.0083358
Sum859279
Variance448438.6901
MonotonicityNot monotonic
2024-10-21T22:50:28.565477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73023
66.4%
1 16801
 
15.3%
2 6754
 
6.1%
3 3415
 
3.1%
4 1982
 
1.8%
5 1266
 
1.2%
6 966
 
0.9%
7 643
 
0.6%
8 505
 
0.5%
9 356
 
0.3%
Other values (487) 4335
 
3.9%
ValueCountFrequency (%)
0 73023
66.4%
1 16801
 
15.3%
2 6754
 
6.1%
3 3415
 
3.1%
4 1982
 
1.8%
ValueCountFrequency (%)
215711 1
< 0.1%
24342 1
< 0.1%
21481 1
< 0.1%
18032 1
< 0.1%
15175 1
< 0.1%
Distinct464
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.939225415
Minimum0
Maximum191747
Zeros75365
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:28.741968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum191747
Range191747
Interquartile range (IQR)1

Descriptive statistics

Standard deviation595.8321208
Coefficient of variation (CV)85.86435592
Kurtosis97495.79796
Mean6.939225415
Median Absolute Deviation (MAD)0
Skewness304.2536469
Sum763634
Variance355015.9162
MonotonicityNot monotonic
2024-10-21T22:50:28.934384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75365
68.5%
1 15874
 
14.4%
2 6402
 
5.8%
3 3214
 
2.9%
4 1844
 
1.7%
5 1139
 
1.0%
6 771
 
0.7%
7 628
 
0.6%
8 440
 
0.4%
9 373
 
0.3%
Other values (454) 3996
 
3.6%
ValueCountFrequency (%)
0 75365
68.5%
1 15874
 
14.4%
2 6402
 
5.8%
3 3214
 
2.9%
4 1844
 
1.7%
ValueCountFrequency (%)
191747 1
< 0.1%
21874 1
< 0.1%
21471 1
< 0.1%
16170 1
< 0.1%
12431 1
< 0.1%
Distinct769
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.53291351
Minimum0
Maximum538920
Zeros49525
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:29.150611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile18
Maximum538920
Range538920
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1670.674252
Coefficient of variation (CV)85.53123686
Kurtosis98409.59139
Mean19.53291351
Median Absolute Deviation (MAD)1
Skewness306.1562712
Sum2149519
Variance2791152.456
MonotonicityNot monotonic
2024-10-21T22:50:29.341631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49525
45.0%
1 19984
18.2%
2 10745
 
9.8%
3 6487
 
5.9%
4 4288
 
3.9%
5 3043
 
2.8%
6 2323
 
2.1%
7 1724
 
1.6%
8 1322
 
1.2%
9 1049
 
1.0%
Other values (759) 9556
 
8.7%
ValueCountFrequency (%)
0 49525
45.0%
1 19984
18.2%
2 10745
 
9.8%
3 6487
 
5.9%
4 4288
 
3.9%
ValueCountFrequency (%)
538920 1
< 0.1%
54789 1
< 0.1%
45791 1
< 0.1%
41868 1
< 0.1%
40900 1
< 0.1%
Distinct566
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2763299
Minimum0
Maximum283536
Zeros63516
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:29.506236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum283536
Range283536
Interquartile range (IQR)1

Descriptive statistics

Standard deviation878.675748
Coefficient of variation (CV)85.50482095
Kurtosis98541.91424
Mean10.2763299
Median Absolute Deviation (MAD)0
Skewness306.4318428
Sum1130869
Variance772071.0701
MonotonicityNot monotonic
2024-10-21T22:50:29.689985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63516
57.7%
1 19501
 
17.7%
2 8816
 
8.0%
3 4769
 
4.3%
4 2786
 
2.5%
5 1893
 
1.7%
6 1249
 
1.1%
7 852
 
0.8%
8 716
 
0.7%
9 506
 
0.5%
Other values (556) 5442
 
4.9%
ValueCountFrequency (%)
0 63516
57.7%
1 19501
 
17.7%
2 8816
 
8.0%
3 4769
 
4.3%
4 2786
 
2.5%
ValueCountFrequency (%)
283536 1
< 0.1%
29404 1
< 0.1%
22560 1
< 0.1%
21598 1
< 0.1%
20774 1
< 0.1%
Distinct527
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.25658361
Minimum0
Maximum255384
Zeros64078
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:29.872035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum255384
Range255384
Interquartile range (IQR)1

Descriptive statistics

Standard deviation792.1864165
Coefficient of variation (CV)85.58086329
Kurtosis98171.37702
Mean9.25658361
Median Absolute Deviation (MAD)0
Skewness305.6644235
Sum1018650
Variance627559.3185
MonotonicityNot monotonic
2024-10-21T22:50:30.047160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64078
58.2%
1 19517
 
17.7%
2 8514
 
7.7%
3 4647
 
4.2%
4 2828
 
2.6%
5 1807
 
1.6%
6 1241
 
1.1%
7 878
 
0.8%
8 687
 
0.6%
9 525
 
0.5%
Other values (517) 5324
 
4.8%
ValueCountFrequency (%)
0 64078
58.2%
1 19517
 
17.7%
2 8514
 
7.7%
3 4647
 
4.2%
4 2828
 
2.6%
ValueCountFrequency (%)
255384 1
< 0.1%
25385 1
< 0.1%
25017 1
< 0.1%
20270 1
< 0.1%
18340 1
< 0.1%

Población de 15 a 17 años que asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct1918
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.4443051
Minimum0
Maximum4499305
Zeros27054
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:30.222401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile109
Maximum4499305
Range4499305
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13959.62661
Coefficient of variation (CV)85.40907313
Kurtosis98096.85692
Mean163.4443051
Median Absolute Deviation (MAD)3
Skewness305.5306239
Sum17986392
Variance194871175
MonotonicityNot monotonic
2024-10-21T22:50:30.411398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27054
24.6%
1 14651
13.3%
2 9361
 
8.5%
3 6430
 
5.8%
4 4907
 
4.5%
5 3829
 
3.5%
6 3146
 
2.9%
7 2689
 
2.4%
8 2375
 
2.2%
9 2058
 
1.9%
Other values (1908) 33546
30.5%
ValueCountFrequency (%)
0 27054
24.6%
1 14651
13.3%
2 9361
 
8.5%
3 6430
 
5.8%
4 4907
 
4.5%
ValueCountFrequency (%)
4499305 1
< 0.1%
613122 1
< 0.1%
332541 1
< 0.1%
320725 1
< 0.1%
272985 1
< 0.1%
Distinct1408
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.1229395
Minimum0
Maximum2233341
Zeros38070
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:30.578671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile55
Maximum2233341
Range2233341
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6928.665117
Coefficient of variation (CV)85.4094435
Kurtosis98126.65755
Mean81.1229395
Median Absolute Deviation (MAD)2
Skewness305.5891101
Sum8927255
Variance48006400.31
MonotonicityNot monotonic
2024-10-21T22:50:30.755403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38070
34.6%
1 16693
15.2%
2 9511
 
8.6%
3 6319
 
5.7%
4 4750
 
4.3%
5 3582
 
3.3%
6 2894
 
2.6%
7 2486
 
2.3%
8 2075
 
1.9%
9 1736
 
1.6%
Other values (1398) 21930
19.9%
ValueCountFrequency (%)
0 38070
34.6%
1 16693
15.2%
2 9511
 
8.6%
3 6319
 
5.7%
4 4750
 
4.3%
ValueCountFrequency (%)
2233341 1
< 0.1%
302573 1
< 0.1%
165572 1
< 0.1%
159712 1
< 0.1%
133418 1
< 0.1%
Distinct1405
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.32136561
Minimum0
Maximum2265964
Zeros38660
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:30.928820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile55
Maximum2265964
Range2265964
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7031.042025
Coefficient of variation (CV)85.40968645
Kurtosis98063.03704
Mean82.32136561
Median Absolute Deviation (MAD)1
Skewness305.4633795
Sum9059137
Variance49435551.96
MonotonicityNot monotonic
2024-10-21T22:50:31.105860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38660
35.1%
1 16628
15.1%
2 9347
 
8.5%
3 6345
 
5.8%
4 4692
 
4.3%
5 3554
 
3.2%
6 2807
 
2.6%
7 2486
 
2.3%
8 2034
 
1.8%
9 1745
 
1.6%
Other values (1395) 21748
19.8%
ValueCountFrequency (%)
0 38660
35.1%
1 16628
15.1%
2 9347
 
8.5%
3 6345
 
5.8%
4 4692
 
4.3%
ValueCountFrequency (%)
2265964 1
< 0.1%
310549 1
< 0.1%
166969 1
< 0.1%
161013 1
< 0.1%
139567 1
< 0.1%

Población de 18 a 24 años que asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct1644
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.7154099
Minimum0
Maximum3955759
Zeros44632
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:31.280885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile63
Maximum3955759
Range3955759
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12322.61819
Coefficient of variation (CV)85.74319342
Kurtosis96545.74519
Mean143.7154099
Median Absolute Deviation (MAD)1
Skewness302.1600869
Sum15815306
Variance151846919.1
MonotonicityNot monotonic
2024-10-21T22:50:31.481944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44632
40.6%
1 16160
 
14.7%
2 9117
 
8.3%
3 6006
 
5.5%
4 4183
 
3.8%
5 3211
 
2.9%
6 2494
 
2.3%
7 1967
 
1.8%
8 1707
 
1.6%
9 1368
 
1.2%
Other values (1634) 19201
17.4%
ValueCountFrequency (%)
0 44632
40.6%
1 16160
 
14.7%
2 9117
 
8.3%
3 6006
 
5.5%
4 4183
 
3.8%
ValueCountFrequency (%)
3955759 1
< 0.1%
547945 1
< 0.1%
435799 1
< 0.1%
261803 1
< 0.1%
260446 1
< 0.1%
Distinct1196
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.86065827
Minimum0
Maximum1978232
Zeros57536
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:31.661047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile31
Maximum1978232
Range1978232
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6163.583426
Coefficient of variation (CV)85.77131874
Kurtosis96472.83815
Mean71.86065827
Median Absolute Deviation (MAD)0
Skewness302.0024084
Sum7907978
Variance37989760.64
MonotonicityNot monotonic
2024-10-21T22:50:31.863638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57536
52.3%
1 16445
 
14.9%
2 8182
 
7.4%
3 4874
 
4.4%
4 3275
 
3.0%
5 2333
 
2.1%
6 1784
 
1.6%
7 1425
 
1.3%
8 1117
 
1.0%
9 958
 
0.9%
Other values (1186) 12117
 
11.0%
ValueCountFrequency (%)
0 57536
52.3%
1 16445
 
14.9%
2 8182
 
7.4%
3 4874
 
4.4%
4 3275
 
3.0%
ValueCountFrequency (%)
1978232 1
< 0.1%
274318 1
< 0.1%
220579 1
< 0.1%
131573 1
< 0.1%
128296 1
< 0.1%
Distinct1228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.85475165
Minimum0
Maximum1977527
Zeros55812
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:32.043233image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile32
Maximum1977527
Range1977527
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6159.201258
Coefficient of variation (CV)85.71738286
Kurtosis96608.35884
Mean71.85475165
Median Absolute Deviation (MAD)0
Skewness302.2951518
Sum7907328
Variance37935760.13
MonotonicityNot monotonic
2024-10-21T22:50:32.249596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55812
50.7%
1 16666
 
15.1%
2 8374
 
7.6%
3 5132
 
4.7%
4 3565
 
3.2%
5 2385
 
2.2%
6 1913
 
1.7%
7 1462
 
1.3%
8 1228
 
1.1%
9 1026
 
0.9%
Other values (1218) 12483
 
11.3%
ValueCountFrequency (%)
0 55812
50.7%
1 16666
 
15.1%
2 8374
 
7.6%
3 5132
 
4.7%
4 3565
 
3.2%
ValueCountFrequency (%)
1977527 1
< 0.1%
273627 1
< 0.1%
215220 1
< 0.1%
132150 1
< 0.1%
130230 1
< 0.1%
Distinct777
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.08212929
Minimum0
Maximum554204
Zeros51205
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:32.435268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum554204
Range554204
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1727.001189
Coefficient of variation (CV)85.99691618
Kurtosis96423.91449
Mean20.08212929
Median Absolute Deviation (MAD)1
Skewness302.1540629
Sum2209958
Variance2982533.108
MonotonicityNot monotonic
2024-10-21T22:50:32.594886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51205
46.5%
1 17202
 
15.6%
2 9267
 
8.4%
3 6037
 
5.5%
4 4075
 
3.7%
5 3049
 
2.8%
6 2311
 
2.1%
7 1925
 
1.7%
8 1431
 
1.3%
9 1221
 
1.1%
Other values (767) 12323
 
11.2%
ValueCountFrequency (%)
0 51205
46.5%
1 17202
 
15.6%
2 9267
 
8.4%
3 6037
 
5.5%
4 4075
 
3.7%
ValueCountFrequency (%)
554204 1
< 0.1%
78585 1
< 0.1%
58928 1
< 0.1%
51282 1
< 0.1%
41055 1
< 0.1%
Distinct582
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.44076114
Minimum0
Maximum315715
Zeros60433
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:32.772474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum315715
Range315715
Interquartile range (IQR)2

Descriptive statistics

Standard deviation982.1546452
Coefficient of variation (CV)85.84696713
Kurtosis97067.59431
Mean11.44076114
Median Absolute Deviation (MAD)0
Skewness303.4535493
Sum1259010
Variance964627.7471
MonotonicityNot monotonic
2024-10-21T22:50:32.970293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60433
54.9%
1 17616
 
16.0%
2 8703
 
7.9%
3 5123
 
4.7%
4 3388
 
3.1%
5 2295
 
2.1%
6 1751
 
1.6%
7 1312
 
1.2%
8 1024
 
0.9%
9 824
 
0.7%
Other values (572) 7577
 
6.9%
ValueCountFrequency (%)
0 60433
54.9%
1 17616
 
16.0%
2 8703
 
7.9%
3 5123
 
4.7%
4 3388
 
3.1%
ValueCountFrequency (%)
315715 1
< 0.1%
40218 1
< 0.1%
33674 1
< 0.1%
28222 1
< 0.1%
23342 1
< 0.1%
Distinct495
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.641368155
Minimum0
Maximum238489
Zeros67123
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:33.928613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum238489
Range238489
Interquartile range (IQR)1

Descriptive statistics

Standard deviation745.1219359
Coefficient of variation (CV)86.22731059
Kurtosis95446.58658
Mean8.641368155
Median Absolute Deviation (MAD)0
Skewness300.2004102
Sum950948
Variance555206.6993
MonotonicityNot monotonic
2024-10-21T22:50:34.149232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67123
61.0%
1 16496
 
15.0%
2 7639
 
6.9%
3 4355
 
4.0%
4 2717
 
2.5%
5 1860
 
1.7%
6 1365
 
1.2%
7 1020
 
0.9%
8 793
 
0.7%
9 647
 
0.6%
Other values (485) 6031
 
5.5%
ValueCountFrequency (%)
0 67123
61.0%
1 16496
 
15.0%
2 7639
 
6.9%
3 4355
 
4.0%
4 2717
 
2.5%
ValueCountFrequency (%)
238489 1
< 0.1%
38367 1
< 0.1%
25254 1
< 0.1%
23060 1
< 0.1%
17713 1
< 0.1%

Población de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct2359
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.5559948
Minimum0
Maximum5393665
Zeros9580
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:34.383842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q336
95-th percentile220
Maximum5393665
Range5393665
Interquartile range (IQR)33

Descriptive statistics

Standard deviation16768.33693
Coefficient of variation (CV)85.74698487
Kurtosis97308.71577
Mean195.5559948
Median Absolute Deviation (MAD)10
Skewness303.9161348
Sum21520155
Variance281177123.2
MonotonicityNot monotonic
2024-10-21T22:50:34.630232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9580
 
8.7%
1 8241
 
7.5%
2 7313
 
6.6%
3 6112
 
5.6%
4 5029
 
4.6%
5 4210
 
3.8%
6 3635
 
3.3%
7 3128
 
2.8%
8 2692
 
2.4%
9 2590
 
2.4%
Other values (2349) 57516
52.3%
ValueCountFrequency (%)
0 9580
8.7%
1 8241
7.5%
2 7313
6.6%
3 6112
5.6%
4 5029
4.6%
ValueCountFrequency (%)
5393665 1
< 0.1%
619394 1
< 0.1%
550844 1
< 0.1%
466067 1
< 0.1%
421810 1
< 0.1%

Población masculina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1538
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.03802046
Minimum0
Maximum2099269
Zeros17730
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:34.833846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile85
Maximum2099269
Range2099269
Interquartile range (IQR)14

Descriptive statistics

Standard deviation6513.865396
Coefficient of variation (CV)85.66589919
Kurtosis98053.2934
Mean76.03802046
Median Absolute Deviation (MAD)4
Skewness305.4932761
Sum8367680
Variance42430442.4
MonotonicityNot monotonic
2024-10-21T22:50:35.023277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17730
16.1%
1 13924
 
12.7%
2 10190
 
9.3%
3 7444
 
6.8%
4 5739
 
5.2%
5 4741
 
4.3%
6 4079
 
3.7%
7 3334
 
3.0%
8 2923
 
2.7%
9 2582
 
2.3%
Other values (1528) 37360
33.9%
ValueCountFrequency (%)
0 17730
16.1%
1 13924
12.7%
2 10190
9.3%
3 7444
6.8%
4 5739
 
5.2%
ValueCountFrequency (%)
2099269 1
< 0.1%
240428 1
< 0.1%
200900 1
< 0.1%
149100 1
< 0.1%
147184 1
< 0.1%

Población femenina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1879
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.5179743
Minimum0
Maximum3294396
Zeros15306
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:35.235906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile135
Maximum3294396
Range3294396
Interquartile range (IQR)20

Descriptive statistics

Standard deviation10257.97485
Coefficient of variation (CV)85.82788414
Kurtosis96707.63565
Mean119.5179743
Median Absolute Deviation (MAD)6
Skewness302.6459236
Sum13152475
Variance105226048
MonotonicityNot monotonic
2024-10-21T22:50:35.426861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15306
 
13.9%
1 12475
 
11.3%
2 9208
 
8.4%
3 6716
 
6.1%
4 5433
 
4.9%
5 4343
 
3.9%
6 3655
 
3.3%
7 3195
 
2.9%
8 2762
 
2.5%
9 2422
 
2.2%
Other values (1869) 44531
40.5%
ValueCountFrequency (%)
0 15306
13.9%
1 12475
11.3%
2 9208
8.4%
3 6716
6.1%
4 5433
 
4.9%
ValueCountFrequency (%)
3294396 1
< 0.1%
378966 1
< 0.1%
349944 1
< 0.1%
316967 1
< 0.1%
276081 1
< 0.1%

Población de 15 años y más sin escolaridad
Real number (ℝ)

Skewed  Zeros 

Distinct2372
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.6877124
Minimum0
Maximum5646147
Zeros8848
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:35.609170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q333
95-th percentile206
Maximum5646147
Range5646147
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17526.08034
Coefficient of variation (CV)85.62350975
Kurtosis97905.42708
Mean204.6877124
Median Absolute Deviation (MAD)9
Skewness305.1340048
Sum22525064
Variance307163492
MonotonicityNot monotonic
2024-10-21T22:50:35.877342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8848
 
8.0%
1 7994
 
7.3%
2 7555
 
6.9%
3 6207
 
5.6%
4 5315
 
4.8%
5 4431
 
4.0%
6 3892
 
3.5%
7 3280
 
3.0%
8 2991
 
2.7%
9 2709
 
2.5%
Other values (2362) 56824
51.6%
ValueCountFrequency (%)
0 8848
8.0%
1 7994
7.3%
2 7555
6.9%
3 6207
5.6%
4 5315
4.8%
ValueCountFrequency (%)
5646147 1
< 0.1%
594473 1
< 0.1%
535269 1
< 0.1%
519762 1
< 0.1%
378250 1
< 0.1%
Distinct1602
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.27827454
Minimum0
Maximum2326976
Zeros16202
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:36.102488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q314
95-th percentile85
Maximum2326976
Range2326976
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7210.459216
Coefficient of variation (CV)85.55537302
Kurtosis98587.96983
Mean84.27827454
Median Absolute Deviation (MAD)4
Skewness306.5752132
Sum9274487
Variance51990722.1
MonotonicityNot monotonic
2024-10-21T22:50:36.293539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16202
14.7%
1 14274
 
13.0%
2 10467
 
9.5%
3 7741
 
7.0%
4 6111
 
5.6%
5 4968
 
4.5%
6 4109
 
3.7%
7 3520
 
3.2%
8 3109
 
2.8%
9 2605
 
2.4%
Other values (1592) 36940
33.6%
ValueCountFrequency (%)
0 16202
14.7%
1 14274
13.0%
2 10467
9.5%
3 7741
7.0%
4 6111
 
5.6%
ValueCountFrequency (%)
2326976 1
< 0.1%
238781 1
< 0.1%
198070 1
< 0.1%
189037 1
< 0.1%
165017 1
< 0.1%
Distinct1871
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.4094379
Minimum0
Maximum3319171
Zeros14776
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:36.468588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q319
95-th percentile123
Maximum3319171
Range3319171
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10319.6884
Coefficient of variation (CV)85.70497943
Kurtosis97279.18196
Mean120.4094379
Median Absolute Deviation (MAD)5
Skewness303.8159554
Sum13250577
Variance106495968.6
MonotonicityNot monotonic
2024-10-21T22:50:36.642240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14776
 
13.4%
1 12883
 
11.7%
2 9752
 
8.9%
3 7286
 
6.6%
4 5559
 
5.1%
5 4561
 
4.1%
6 3780
 
3.4%
7 3328
 
3.0%
8 2855
 
2.6%
9 2590
 
2.4%
Other values (1861) 42676
38.8%
ValueCountFrequency (%)
0 14776
13.4%
1 12883
11.7%
2 9752
8.9%
3 7286
6.6%
4 5559
 
5.1%
ValueCountFrequency (%)
3319171 1
< 0.1%
355692 1
< 0.1%
346232 1
< 0.1%
321692 1
< 0.1%
239323 1
< 0.1%
Distinct2988
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.8487542
Minimum0
Maximum9947945
Zeros3949
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:36.834809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q356
95-th percentile356
Maximum9947945
Range9947945
Interquartile range (IQR)51

Descriptive statistics

Standard deviation30776.7605
Coefficient of variation (CV)85.28991756
Kurtosis99205.06136
Mean360.8487542
Median Absolute Deviation (MAD)14
Skewness307.8840519
Sum39709962
Variance947208986.6
MonotonicityNot monotonic
2024-10-21T22:50:37.033665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6353
 
5.8%
3 6120
 
5.6%
1 5397
 
4.9%
4 5333
 
4.8%
5 4470
 
4.1%
0 3949
 
3.6%
6 3725
 
3.4%
7 3153
 
2.9%
8 2687
 
2.4%
9 2389
 
2.2%
Other values (2978) 66470
60.4%
ValueCountFrequency (%)
0 3949
3.6%
1 5397
4.9%
2 6353
5.8%
3 6120
5.6%
4 5333
4.8%
ValueCountFrequency (%)
9947945 1
< 0.1%
986534 1
< 0.1%
966018 1
< 0.1%
644810 1
< 0.1%
626420 1
< 0.1%
Distinct2159
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.6540628
Minimum0
Maximum4707350
Zeros8356
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:37.210005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q328
95-th percentile172
Maximum4707350
Range4707350
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14552.82996
Coefficient of variation (CV)85.27678577
Kurtosis99494.16705
Mean170.6540628
Median Absolute Deviation (MAD)7
Skewness308.5012052
Sum18779797
Variance211784859.8
MonotonicityNot monotonic
2024-10-21T22:50:37.388359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10653
 
9.7%
2 9613
 
8.7%
0 8356
 
7.6%
3 7484
 
6.8%
4 5453
 
5.0%
5 4539
 
4.1%
6 3763
 
3.4%
7 3220
 
2.9%
8 2794
 
2.5%
9 2534
 
2.3%
Other values (2149) 51637
46.9%
ValueCountFrequency (%)
0 8356
7.6%
1 10653
9.7%
2 9613
8.7%
3 7484
6.8%
4 5453
5.0%
ValueCountFrequency (%)
4707350 1
< 0.1%
460299 1
< 0.1%
432779 1
< 0.1%
306901 1
< 0.1%
301028 1
< 0.1%
Distinct2265
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.1946913
Minimum0
Maximum5240595
Zeros9303
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:37.564079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q327
95-th percentile182.75
Maximum5240595
Range5240595
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16225.99967
Coefficient of variation (CV)85.3125792
Kurtosis98896.43873
Mean190.1946913
Median Absolute Deviation (MAD)7
Skewness307.2262956
Sum20930165
Variance263283065.1
MonotonicityNot monotonic
2024-10-21T22:50:37.737854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 11752
 
10.7%
2 9819
 
8.9%
0 9303
 
8.5%
3 7330
 
6.7%
4 5508
 
5.0%
5 4346
 
3.9%
6 3630
 
3.3%
7 3084
 
2.8%
8 2810
 
2.6%
9 2405
 
2.2%
Other values (2255) 50059
45.5%
ValueCountFrequency (%)
0 9303
8.5%
1 11752
10.7%
2 9819
8.9%
3 7330
6.7%
4 5508
5.0%
ValueCountFrequency (%)
5240595 1
< 0.1%
553755 1
< 0.1%
505719 1
< 0.1%
337909 1
< 0.1%
326773 1
< 0.1%

Población de 15 años y más con primaria completa
Real number (ℝ)

Skewed  Zeros 

Distinct3103
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456.1496465
Minimum0
Maximum12565410
Zeros5361
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:37.931574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median14
Q349
95-th percentile350
Maximum12565410
Range12565410
Interquartile range (IQR)45

Descriptive statistics

Standard deviation38985.35431
Coefficient of variation (CV)85.46615044
Kurtosis98097.72347
Mean456.1496465
Median Absolute Deviation (MAD)12
Skewness305.5315576
Sum50197444
Variance1519857851
MonotonicityNot monotonic
2024-10-21T22:50:38.124247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7123
 
6.5%
1 6909
 
6.3%
3 6140
 
5.6%
0 5361
 
4.9%
4 5168
 
4.7%
5 4201
 
3.8%
6 3598
 
3.3%
7 3015
 
2.7%
8 2764
 
2.5%
9 2265
 
2.1%
Other values (3093) 63502
57.7%
ValueCountFrequency (%)
0 5361
4.9%
1 6909
6.3%
2 7123
6.5%
3 6140
5.6%
4 5168
4.7%
ValueCountFrequency (%)
12565410 1
< 0.1%
1661364 1
< 0.1%
904879 1
< 0.1%
902812 1
< 0.1%
798506 1
< 0.1%
Distinct2254
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.6594242
Minimum0
Maximum5832568
Zeros11288
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:38.290956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324
95-th percentile164
Maximum5832568
Range5832568
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18084.69049
Coefficient of variation (CV)85.44240616
Kurtosis98341.83124
Mean211.6594242
Median Absolute Deviation (MAD)6
Skewness306.0442207
Sum23292273
Variance327056030.3
MonotonicityNot monotonic
2024-10-21T22:50:38.488157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12111
 
11.0%
0 11288
 
10.3%
2 9469
 
8.6%
3 7025
 
6.4%
4 5363
 
4.9%
5 4359
 
4.0%
6 3628
 
3.3%
7 3170
 
2.9%
8 2778
 
2.5%
9 2381
 
2.2%
Other values (2244) 48474
44.0%
ValueCountFrequency (%)
0 11288
10.3%
1 12111
11.0%
2 9469
8.6%
3 7025
6.4%
4 5363
4.9%
ValueCountFrequency (%)
5832568 1
< 0.1%
750727 1
< 0.1%
422006 1
< 0.1%
421950 1
< 0.1%
350159 1
< 0.1%
Distinct2382
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.4902223
Minimum0
Maximum6732842
Zeros11568
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:38.663172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile183
Maximum6732842
Range6732842
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20901.74652
Coefficient of variation (CV)85.49113467
Kurtosis97866.91078
Mean244.4902223
Median Absolute Deviation (MAD)6
Skewness305.0466927
Sum26905171
Variance436883007.5
MonotonicityNot monotonic
2024-10-21T22:50:38.841914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12454
 
11.3%
0 11568
 
10.5%
2 9659
 
8.8%
3 6990
 
6.4%
4 5176
 
4.7%
5 4252
 
3.9%
6 3669
 
3.3%
7 3017
 
2.7%
8 2768
 
2.5%
9 2386
 
2.2%
Other values (2372) 48107
43.7%
ValueCountFrequency (%)
0 11568
10.5%
1 12454
11.3%
2 9659
8.8%
3 6990
6.4%
4 5176
4.7%
ValueCountFrequency (%)
6732842 1
< 0.1%
910637 1
< 0.1%
482873 1
< 0.1%
480862 1
< 0.1%
456996 1
< 0.1%
Distinct1850
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.2212348
Minimum0
Maximum4082402
Zeros24419
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:39.048375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile100
Maximum4082402
Range4082402
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12659.11832
Coefficient of variation (CV)85.40691445
Kurtosis98306.25772
Mean148.2212348
Median Absolute Deviation (MAD)3
Skewness305.9153727
Sum16311154
Variance160253276.5
MonotonicityNot monotonic
2024-10-21T22:50:39.248108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24419
22.2%
1 15131
13.7%
2 9647
 
8.8%
3 6633
 
6.0%
4 5051
 
4.6%
5 4086
 
3.7%
6 3393
 
3.1%
7 2862
 
2.6%
8 2519
 
2.3%
9 2165
 
2.0%
Other values (1840) 34140
31.0%
ValueCountFrequency (%)
0 24419
22.2%
1 15131
13.7%
2 9647
 
8.8%
3 6633
 
6.0%
4 5051
 
4.6%
ValueCountFrequency (%)
4082402 1
< 0.1%
513736 1
< 0.1%
303415 1
< 0.1%
283690 1
< 0.1%
281123 1
< 0.1%
Distinct1394
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.10168475
Minimum0
Maximum2234373
Zeros34451
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:39.436974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile55
Maximum2234373
Range2234373
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6930.810196
Coefficient of variation (CV)85.45827645
Kurtosis98181.48592
Mean81.10168475
Median Absolute Deviation (MAD)2
Skewness305.6618595
Sum8924916
Variance48036129.97
MonotonicityNot monotonic
2024-10-21T22:50:39.616227image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34451
31.3%
1 17059
15.5%
2 9993
 
9.1%
3 6762
 
6.1%
4 5029
 
4.6%
5 3981
 
3.6%
6 3251
 
3.0%
7 2575
 
2.3%
8 2245
 
2.0%
9 1921
 
1.7%
Other values (1384) 22779
20.7%
ValueCountFrequency (%)
0 34451
31.3%
1 17059
15.5%
2 9993
 
9.1%
3 6762
 
6.1%
4 5029
 
4.6%
ValueCountFrequency (%)
2234373 1
< 0.1%
288044 1
< 0.1%
169249 1
< 0.1%
155996 1
< 0.1%
149550 1
< 0.1%
Distinct1285
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.11955001
Minimum0
Maximum1848029
Zeros37520
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:39.779254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile45
Maximum1848029
Range1848029
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5728.540188
Coefficient of variation (CV)85.34831041
Kurtosis98441.74944
Mean67.11955001
Median Absolute Deviation (MAD)1
Skewness306.1902701
Sum7386238
Variance32816172.69
MonotonicityNot monotonic
2024-10-21T22:50:39.971640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37520
34.1%
1 17732
16.1%
2 9846
 
8.9%
3 6515
 
5.9%
4 4806
 
4.4%
5 3792
 
3.4%
6 3103
 
2.8%
7 2422
 
2.2%
8 2124
 
1.9%
9 1828
 
1.7%
Other values (1275) 20358
18.5%
ValueCountFrequency (%)
0 37520
34.1%
1 17732
16.1%
2 9846
 
8.9%
3 6515
 
5.9%
4 4806
 
4.4%
ValueCountFrequency (%)
1848029 1
< 0.1%
225692 1
< 0.1%
134166 1
< 0.1%
134140 1
< 0.1%
125127 1
< 0.1%
Distinct3307
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624.0555131
Minimum0
Maximum17181221
Zeros11194
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:40.146622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q346
95-th percentile403
Maximum17181221
Range17181221
Interquartile range (IQR)44

Descriptive statistics

Standard deviation53448.1596
Coefficient of variation (CV)85.64648253
Kurtosis97090.12985
Mean624.0555131
Median Absolute Deviation (MAD)9
Skewness303.5233694
Sum68674813
Variance2856705765
MonotonicityNot monotonic
2024-10-21T22:50:40.335656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11194
 
10.2%
1 9140
 
8.3%
2 7956
 
7.2%
3 6117
 
5.6%
4 4796
 
4.4%
5 4082
 
3.7%
6 3182
 
2.9%
7 2724
 
2.5%
8 2433
 
2.2%
9 2142
 
1.9%
Other values (3297) 56280
51.1%
ValueCountFrequency (%)
0 11194
10.2%
1 9140
8.3%
2 7956
7.2%
3 6117
5.6%
4 4796
4.4%
ValueCountFrequency (%)
17181221 1
< 0.1%
2720721 1
< 0.1%
1362174 1
< 0.1%
1128970 1
< 0.1%
963777 1
< 0.1%
Distinct2467
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.3523799
Minimum0
Maximum8491006
Zeros18989
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:40.525145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q323
95-th percentile202
Maximum8491006
Range8491006
Interquartile range (IQR)22

Descriptive statistics

Standard deviation26431.22878
Coefficient of variation (CV)85.71760913
Kurtosis96848.78679
Mean308.3523799
Median Absolute Deviation (MAD)5
Skewness303.0531652
Sum33932946
Variance698609854.7
MonotonicityNot monotonic
2024-10-21T22:50:40.700164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18989
17.3%
1 13308
 
12.1%
2 9159
 
8.3%
3 6429
 
5.8%
4 4815
 
4.4%
5 3850
 
3.5%
6 3226
 
2.9%
7 2705
 
2.5%
8 2450
 
2.2%
9 2120
 
1.9%
Other values (2457) 42995
39.1%
ValueCountFrequency (%)
0 18989
17.3%
1 13308
12.1%
2 9159
8.3%
3 6429
 
5.8%
4 4815
 
4.4%
ValueCountFrequency (%)
8491006 1
< 0.1%
1388866 1
< 0.1%
673754 1
< 0.1%
546629 1
< 0.1%
475870 1
< 0.1%
Distinct2487
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315.7031332
Minimum0
Maximum8690215
Zeros18980
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:40.864980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q323
95-th percentile202
Maximum8690215
Range8690215
Interquartile range (IQR)22

Descriptive statistics

Standard deviation27018.26519
Coefficient of variation (CV)85.58123865
Kurtosis97308.25892
Mean315.7031332
Median Absolute Deviation (MAD)5
Skewness303.9477734
Sum34741867
Variance729986653.7
MonotonicityNot monotonic
2024-10-21T22:50:41.044544image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18980
17.2%
1 13630
 
12.4%
2 9324
 
8.5%
3 6369
 
5.8%
4 4768
 
4.3%
5 3778
 
3.4%
6 3171
 
2.9%
7 2663
 
2.4%
8 2292
 
2.1%
9 2024
 
1.8%
Other values (2477) 43047
39.1%
ValueCountFrequency (%)
0 18980
17.2%
1 13630
12.4%
2 9324
8.5%
3 6369
 
5.8%
4 4768
 
4.3%
ValueCountFrequency (%)
8690215 1
< 0.1%
1331855 1
< 0.1%
688420 1
< 0.1%
582341 1
< 0.1%
487907 1
< 0.1%
Distinct3332
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean946.8343965
Minimum0
Maximum26057800
Zeros25576
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:41.226024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q320
95-th percentile320
Maximum26057800
Range26057800
Interquartile range (IQR)19

Descriptive statistics

Standard deviation81423.59128
Coefficient of variation (CV)85.9955992
Kurtosis95382.89622
Mean946.8343965
Median Absolute Deviation (MAD)4
Skewness299.7449598
Sum104195338
Variance6629801216
MonotonicityNot monotonic
2024-10-21T22:50:41.411898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25576
23.2%
1 12451
 
11.3%
2 8492
 
7.7%
3 6155
 
5.6%
4 4725
 
4.3%
5 3739
 
3.4%
6 3116
 
2.8%
7 2547
 
2.3%
8 2159
 
2.0%
9 1944
 
1.8%
Other values (3322) 39142
35.6%
ValueCountFrequency (%)
0 25576
23.2%
1 12451
11.3%
2 8492
 
7.7%
3 6155
 
5.6%
4 4725
 
4.3%
ValueCountFrequency (%)
26057800 1
< 0.1%
3802272 1
< 0.1%
3394773 1
< 0.1%
1708450 1
< 0.1%
1545759 1
< 0.1%
Distinct2527
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.9677953
Minimum0
Maximum12797492
Zeros35603
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:41.581959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile161
Maximum12797492
Range12797492
Interquartile range (IQR)10

Descriptive statistics

Standard deviation39981.02619
Coefficient of variation (CV)85.9866567
Kurtosis95454.58593
Mean464.9677953
Median Absolute Deviation (MAD)2
Skewness299.8890585
Sum51167846
Variance1598482455
MonotonicityNot monotonic
2024-10-21T22:50:41.775978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35603
32.4%
1 15031
13.7%
2 9130
 
8.3%
3 6082
 
5.5%
4 4383
 
4.0%
5 3299
 
3.0%
6 2677
 
2.4%
7 2196
 
2.0%
8 1946
 
1.8%
9 1595
 
1.4%
Other values (2517) 28104
25.5%
ValueCountFrequency (%)
0 35603
32.4%
1 15031
13.7%
2 9130
 
8.3%
3 6082
 
5.5%
4 4383
 
4.0%
ValueCountFrequency (%)
12797492 1
< 0.1%
1869171 1
< 0.1%
1638824 1
< 0.1%
834818 1
< 0.1%
749584 1
< 0.1%
Distinct2567
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.8666012
Minimum0
Maximum13260308
Zeros35178
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:41.968423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile162
Maximum13260308
Range13260308
Interquartile range (IQR)10

Descriptive statistics

Standard deviation41443.69934
Coefficient of variation (CV)86.00658198
Kurtosis95303.45605
Mean481.8666012
Median Absolute Deviation (MAD)2
Skewness299.5836107
Sum53027492
Variance1717580215
MonotonicityNot monotonic
2024-10-21T22:50:42.161809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35178
32.0%
1 15226
13.8%
2 8987
 
8.2%
3 6102
 
5.5%
4 4338
 
3.9%
5 3492
 
3.2%
6 2664
 
2.4%
7 2269
 
2.1%
8 1839
 
1.7%
9 1627
 
1.5%
Other values (2557) 28324
25.7%
ValueCountFrequency (%)
0 35178
32.0%
1 15226
13.8%
2 8987
 
8.2%
3 6102
 
5.5%
4 4338
 
3.9%
ValueCountFrequency (%)
13260308 1
< 0.1%
1933101 1
< 0.1%
1755949 1
< 0.1%
873632 1
< 0.1%
796175 1
< 0.1%
Distinct1507
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.538843211
Minimum0
Maximum18.25
Zeros350
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:42.335566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.57
Q14.41
median5.48
Q36.56
95-th percentile8.6
Maximum18.25
Range18.25
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.906351563
Coefficient of variation (CV)0.344178647
Kurtosis2.554023393
Mean5.538843211
Median Absolute Deviation (MAD)1.07
Skewness0.6029745699
Sum609527.54
Variance3.63417628
MonotonicityNot monotonic
2024-10-21T22:50:42.530740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 893
 
0.8%
5 868
 
0.8%
4 689
 
0.6%
5.5 524
 
0.5%
7 496
 
0.5%
3 452
 
0.4%
4.5 451
 
0.4%
5.33 421
 
0.4%
5.67 414
 
0.4%
6.5 391
 
0.4%
Other values (1497) 104447
94.9%
ValueCountFrequency (%)
0 350
0.3%
0.06 1
 
< 0.1%
0.07 4
 
< 0.1%
0.08 3
 
< 0.1%
0.09 3
 
< 0.1%
ValueCountFrequency (%)
18.25 1
< 0.1%
18.23 1
< 0.1%
17.71 1
< 0.1%
17.2 1
< 0.1%
17 1
< 0.1%
Distinct1490
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.611984625
Minimum0
Maximum19.71
Zeros663
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:42.707417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.47
Q14.43
median5.56
Q36.69
95-th percentile8.86
Maximum19.71
Range19.71
Interquartile range (IQR)2.26

Descriptive statistics

Standard deviation2.014029091
Coefficient of variation (CV)0.3588800087
Kurtosis2.588359313
Mean5.611984625
Median Absolute Deviation (MAD)1.13
Skewness0.5925381945
Sum617576.46
Variance4.056313179
MonotonicityNot monotonic
2024-10-21T22:50:42.901223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1635
 
1.5%
5 1536
 
1.4%
4 1357
 
1.2%
3 1089
 
1.0%
7 944
 
0.9%
4.5 823
 
0.7%
5.5 729
 
0.7%
0 663
 
0.6%
2 627
 
0.6%
6.5 607
 
0.6%
Other values (1480) 100036
90.9%
ValueCountFrequency (%)
0 663
0.6%
0.07 2
 
< 0.1%
0.08 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 1
 
< 0.1%
ValueCountFrequency (%)
19.71 1
< 0.1%
19.5 1
< 0.1%
18 2
< 0.1%
17.75 1
< 0.1%
17.67 1
< 0.1%
Distinct1448
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.447470876
Minimum0
Maximum20
Zeros1077
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size859.9 KiB
2024-10-21T22:50:43.090659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.14
Q14.25
median5.44
Q36.6
95-th percentile8.65
Maximum20
Range20
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation2.042213621
Coefficient of variation (CV)0.3748920678
Kurtosis1.998921396
Mean5.447470876
Median Absolute Deviation (MAD)1.19
Skewness0.4068478749
Sum599472.38
Variance4.170636473
MonotonicityNot monotonic
2024-10-21T22:50:43.284759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1830
 
1.7%
5 1544
 
1.4%
4 1385
 
1.3%
3 1193
 
1.1%
0 1077
 
1.0%
7 1000
 
0.9%
4.5 956
 
0.9%
5.5 716
 
0.7%
2 644
 
0.6%
4.67 598
 
0.5%
Other values (1438) 99103
90.1%
ValueCountFrequency (%)
0 1077
1.0%
0.04 1
 
< 0.1%
0.08 2
 
< 0.1%
0.09 1
 
< 0.1%
0.1 3
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 2
< 0.1%
18 4
< 0.1%
17.5 1
 
< 0.1%
17.33 1
 
< 0.1%